Universit de MontralOffice of Admissions and RecruitmentC. Although machine learning (ML) approaches have demonstrated impressive performance on various applications and made significant progress for AI, the potential vulnerabilities of ML models to malicious attacks (e.g., adversarial/poisoning attacks) have raised severe concerns in safety-critical applications. While most work on XAI has focused on opaque learned models, this workshop also highlights the need for interactive AI-enabled agents to explain their decisions and models. This is especially the case for non-traditional online resources such as social networks, blogs, news feed, twitter posts, and online communities with the sheer size and ever-increasing growth and change rate of their data. "Misinformation Propagation in the Age of Twitter." Integration of declarative and procedural domain knowledge in learning. It will start with a 60-minute mini-tutorial covering the basics of RL in games, and will include 2-4 invited talks by prominent contributors to the field, paper presentations, a poster session, and will close with a discussion panel. The goal of ITCI22 is to bring together researchers working at the intersection of information theory, causal inference and machine learning in order to foster new collaborations and provide a venue to brainstorm new ideas, exemplify to the information theory community causal inference and discovery as an application area and highlight important technical challenges motivated by practical ML problems, draw the attention of the wider machine learning community to the problems at the intersection of causal inference and information theory, and demonstrate to the community the utility of information-theoretic tools to tackle causal ML problems. Make sure your desired study programs are open for admission in the session when you would like to start your studies. The invited speakers, who are well-recognized experts of the field, will give a 30 minute talk. Dazhou Yu, Guangji Bai, Yun Li, and Liang Zhao. Deadline in your local America/New_York timezone: Deadline in timezone from conference website: DASFAA 2022. Papers can be submitted here as an extended abstract (4 pages limit excluding references) or a short paper (6 pages limit excluding references). All papers must be submitted in PDF format, using the AAAI-21 author kit and anonymized. 2022. ), responsible development of human-centric SSL (e.g., safety, limitations, societal impacts, and unintended consequences), ethical and legal implications of using SSL on human-centric data, implications of SSL on robustness and fairness, implications of SSL on privacy and security, interpretability and explainability of human-centric SSL frameworks, if your work broadly addresses the use of unlabeled human-centric data with unsupervised or semi-supervised learning, if your work focuses on architectures and frameworks for SSL for sensory data beyond CV and NLP (but not necessarily human-centric data). It is also central for tackling decision-making problems such as reinforcement learning, policy or experimental design. SIGKDD Explorations, Vol. Topics of interest include, but are not limited to: One day, comprising keynote, paper presentations and panel sessions. Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao. However, despite increasing interest from various subfields, AI/ML techniques are yet to fulfill their full promise in achieving these advances. This workshop will follow a dual-track format. Spatial Event Forecasting in Social Media with Geographically Hierarchical Regularization. However, the quality of audio and video content shared online and the nature of speech and video transcripts pose many challenges to the existing natural language processing. The industry session will emphasize practical industrial product developments using GNNs. After the submission deadline, the names and order of authors cannot be changed. AI for infrastructure management and congestion. Scientists and engineers in diverse domains are increasingly relying on using AI tools to accelerate scientific discovery and engineering design. The academic session will focus on most recent research developments on GNNs in various application domains. Our goal is to build a stronger community of researchers exploring these methods, and to find synergies among these related approaches and alternatives. Geoinformatica, (impact factor: 2.392), Volume 20, Issue 4, pp 765-795, Oct 2016. "GA-based principal component selection for production performance estimation in mineral processing." Deep Graph Transformation for Attributed, Directed, and Signed Networks. arXiv preprint arXiv:2212.03954 (2022). We invite a long research paper (8 pages) and a demo paper (4 pages) (including references). Invited speakers, committee members, authors of the research paper, and the participants of the shared task are invited to attend. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. Short or position papers of up to 4 pages are also welcome. 2022. The cookie is used to store the user consent for the cookies in the category "Analytics". Eliminating the need to guess the right topology in advance of training is a prominent benefit of learning network architecture during training. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (Impact Factor: 14.255), accepted. Time Series Clustering in Linear Time Complexity. Published March 4, 2023 4:51 a.m. PST. International Journal of Digital Earth, (impact factor: 3.097), 25 Aug 2020, https://doi.org/10.1080/17538947.2020.1809723. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), short paper (acceptance rate: 19.9%), Singapore, Dec 2018, accepted. The 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Datasets and Benchmarks Track, accepted. We invite submissions to the AAAI-22 workshop on Graphs and more Complex structures for Learning and Reasoning to be held virtually on February 28 or March 1, 2022. AI is one of these transformative technologies that is now achieving great successes in various real-world applications and making our life more convenient and safer. Incomplete Label Multi-task Deep Learning for Spatio-temporal Event Subtype Forecasting.Thirty-third AAAI Conference on Artificial Intelligence (AAAI 2019), (acceptance rate: 16.2%), Hawaii, USA, Feb 2019, accepted. Qiang Yang, Hong Kong University of Science and Technology/ WeBank, China, ([email protected] ), Sin G. Teo, Institute for Infocomm Research, Singapore ([email protected]), Han Yu, Nanyang Technological University, Singapore ([email protected]), Lixin Fan, WeBank, China ([email protected]), Chao Jin, Institute for Infocomm Research, Singapore ([email protected]), Le Zhang, University of Electronic Science and Technology of China ([email protected]), Yang Liu, Tsinghua University, China ([email protected]), Zengxiang Li, Digital Research Institute, ENN Group, China ([email protected]), Workshop site:http://federated-learning.org/fl-aaai-2022/. The workshop on Robust Artificial Intelligence System Assurance (RAISA) will focus on research, development and application of robust artificial intelligence (AI) and machine learning (ML) systems. Hierarchical Incomplete Multisource Feature Learning for Spatiotemporal Event Forecasting. in Proceedings of the 22st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), research track (acceptance rate: 18.2%), San Francisco, California, pp. 2022. Finally, there is an increasing interest in AI in moving beyond traditional supervised learning approaches towards learning causal models, which can support the identification of targeted behavioral interventions. Please use ACM Conference templates (two column format). In general, AI techniques are still not widely adopted in the real world. Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. All submissions will be peer-reviewed. Despite gratifying achievements that have demonstrated the great potential and bright development prospect of introducing AI in education, developing and applying AI technologies to educational practice is fraught with its unique challenges, including, but not limited to, extreme data sparsity, lack of labeled data, and privacy issues. The topics for AIBSD 2022 include, but are not limited to: This one-day workshop will include invited talks from keynote speakers, and oral/spotlight presentations of the accepted papers. An Invertible Graph Diffusion Model for Source Localization. This has created a strong demand for transcript understanding. In addition to the keynote and presentations of accepted works, the workshop will include both a general discussion session on defining and addressing the key challenges in this area , and a lightning tutorial session that will include brief overviews and demos of relevant tools, including open source frameworks such as Ecole. Some specific topics in the context of scientific discovery and engineering design include (but not limited to): This will be a one day workshop with a number of paper presentations and poster spotlights, a poster session, several invited talks, and a panel discussion. . Finally, the workshop will welcome papers that describe the release of privacy-preserving benchmarks and data sets that can be used by the community to solve fundamental problems of interest, including in machine learning and optimization for health systems and urban networks, to mention but a few examples. Spatiotemporal Innovation Center Team. Complex systems are often characterized by several components that interact in multiple ways among each other. Identification of key challenges and opportunities for future research. Accepted papers will be published in the workshop proceedings. Consequently, standard notions of software quality and reliability such as deterministic functional correctness, black box testing, code coverage, and traditional software debugging become practically irrelevant for ML systems. "Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System." We encourage authors to contact the organizers to discuss possible overlap. This AAAI workshop aims to bring together researchers from core AI/ML, robotics, sensing, cyber physical systems, agriculture engineering, plant sciences, genetics, and bioinformatics communities to facilitate the increasingly synergistic intersection of AI/ML with agriculture and food systems. Proceedings of the IEEE (impact factor: 9.237), vol. Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. Andy Doyle, Graham Katz, Kristen Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Liang Zhao, Chang-Tien Lu, Patrick Butler, Rupinder Paul Khandpur. Workshop registration is available to AAAI-22 technical registrants at a discounted rate, or separately to workshop only registrants. 9, no. However, these real-world applications typically translate to problem domains where it is extremely challenging to even obtain raw data, let alone annotated data. We expect 50-65 people in the workshop. P. 6205, succursale Centre-villeMontral, (Qubec) H3C 3T5Canada. Accepted submissions will have the option of being posted online on the workshop website. Paper Submission:November 12, 2021, 11:59 pm (anywhere on earth) Author Notification: December 3, 2021Full conference:February 22 March 1, 2022Workshop:February 28 March 1, 2022. Liang Zhao, Olga Gkountouna, and Dieter Pfoser. Submissions should follow the AAAI 2022 formatting guidelines and the AAAI 2022 standards for double-blind review including anonymous submission. In light of these issues, and the ever-increasing pervasiveness of AI in the real world, we seek to provide a focused venue for academic and industry researchers and practitioners to discuss research challenges and solutions associated with building AI systems under data scarcity and/or bias. Paper Submission Deadline: May 26, 2022 Author Notification: June 20, 2022 Camera Ready: July 9, 2022 Workshop: August . It provides an international forum . 2022. A message will appear on your application form if there is a risk that the time required to process the application and to send the answer, in addition to the time you will need to acquire study permits, will be too long for you to arrive for the beginning of the session. Rather than studying robustness with respect to particular ML algorithms, our approach will be to explore robustness assurance at the system architecture level, during both development and deployment, and within the human-machine teaming context. Linguistic analysis of business documents. In fact, the increasingly digitized education tools and the popularity of online learning have produced an unprecedented amount of data that provides us with invaluable opportunities for applying AI in education. An example of the latter is theCascade Correlation algorithm, as well as others that incrementally build or modify a neural network during training, as needed for the problem at hand. We will also organize 3 shared tasks in this workshop: punctuation restoration, domain adaptation for punctuation restoration, and chitchat detection. Colin Camerer (California Institute of Technology), Susan Murphy (Harvard University). Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet. Attendance is open to all; at least one author of each accepted paper must be virtually present at the workshop. KDD 2022 | Washington DC, U.S. SIGKDD CONFERENCE Latest News Aug 12, 2022: Please check out the proceedings access information. A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019. We welcome the submissions in the following two formats: The submissions should adhere to theAAAI paper guidelines. The program consists of poster sessions for accepted papers, and invited and spotlight talks. With this in mind, we welcome relevant contributions on the following (and related) topic areas: The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. Poster/short/position papers: We encourage participants to submit preliminary but interesting ideas that have not been published before as short papers. Papers must be in PDF format, in English, and formatted according to the AAAI template. Other submissions will be evaluated by a committee based on their novelty and insights. 963-971, Apr-May 2015. What AI safety considerations and experiences are relevant from industry? This workshop aims to bring together FL researchers and practitioners to address the additional security and privacy threats and challenges in FL to make its mass adoption and widespread acceptance in the community. Qingzhe Li, Amir A. Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, and Liang Zhao. Liang Gou, Bosch Research (IEEE VIS liaison), Claudia Plant, University of Vienna (KDD liaison), Alvitta Ottley, Washington University, St. Louis, Junming Shao, University of Electronic Science and Technology of China, Visualization in Data Science (VDS at ACM KDD and IEEE VIS), Visualization in Data Science (VDS at ACM KDD and IEEE VIS). Liang Zhao, Junxiang Wang, and Xiaojie Guo. simulation, evaluation and experimentation. The workshop invites contribution to novel methods, innovations, applications, and broader implications of SSL for processing human-related data, including (but not limited to): In addition to the above, papers that consider the following are also invited: Manuscripts that fit only certain aspects of the workshop are also invited. The workshop will be organized as a full day meeting. SIAM International Conference on Data Mining (SDM 2022), (Acceptance Rate: 26%), accepted. Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold Boedihardjo, Chang-Tien Lu, "Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation", ACM Transactions on Knowledge Discovery from Data (TKDD), (impact factor: 1.98), accepted, 2019. Novel ML methods in the computational material and physical sciences. 5, pp. Ferdinando Fioretto (Syracuse University), Emma Frejinger (Universit de Montral), Elias B. Khalil (University of Toronto), Pashootan Vaezipoor (University of Toronto). The main objective of the workshop is to bring researchers together to discuss ideas, preliminary results, and ongoing research in the field of reinforcement in games. CVPR 11 deadline . IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (Impact Factor: 14.255), accepted. The 48th International Conference on Parallel Processing (ICPP 2019), (acceptance rate: 20%), accepted, Kyoto, Japan. The accepted papers will be allocated either a contributed talk or a poster presentation. Data Mining and Knowledge Discovery (DMKD), (impact factor: 3.670), accepted. We invite the submission of original and high-quality research papers in the topics related to biased or scarce data. You can optionally export all deadlines to Google Calendar or .ics . The consideration and experience of adversarial ML from industry and policy making. This workshop will encourage researchers from interdisciplinary domains working on multi-modality and/or fact-checking to come together and work on multimodal (images, memes, videos etc.) Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. Functional Connectivity Prediction with Deep Learning for Graph Transformation. FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers. The adversarial ML could also result in potential data privacy and ethical issues when deploying ML techniques in real-world applications. Temporal Domain Generalization with Drift-Aware Dynamic Neural Network. Please note as per the KDD Call for Workshop Proposals: Note: Workshop papers will not be archived in the ACM Digital Library. Event Prediction in the Big Data Era: A Systematic Survey. Papers will be submitted electronically using Easychair. 4498-4505, New Orleans, US, Feb 2018. Submit to: Papers are required to submit to:https://easychair.org/conferences/?conf=dlg22. Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao. Ranking, acceptance rate, deadline, and publication tips. Submitting a short or long paper to VDS will give authors a chance to present at VDS events at both ACM KDD 2022(hybrid) and IEEE VIS 2022( hybrid). Self-supervised learning (SSL) has shown great promise in problems involving natural language and vision modalities. Multi-objective Deep Data Generation with Correlated Property Control. In addition, authors can provide an optional two (2) page supplement at the end of their submitted paper (it needs to be in the same PDF file) focused on reproducibility. System reports will be presented during poster sessions. Wang, Shiyu, Yuanqi Du, Xiaojie Guo, Bo Pan, and Liang Zhao. At least one author of each accepted submission must be present at the workshop. GeoInformatica (impact factor: 2.392), 24, 443475 (2020). Submissions introducing interesting experimental phenomena and open problems of optimal transport and structured data modeling are welcome as well. Theoretical or empirical studies focusing on understanding why self-supervision methods work for speech and audio. "Knowledge-enhanced Neural Machine Reasoning: A Review." Computer Science and Engineering, INESC-ID, IST Ulisboa, Lisbon, Portugal currently at Sorbonne University, Paris, France [email protected]), Prashan Madumal (Science and Information Systems, University of Melbourne, Parkville, Australia [email protected]), Mark T. Keane (School of Computer Science, University College Dublin, Dublin, Ireland [email protected]), David W. Aha (Navy Center for Applied Research in AI, Naval Research Laboratory, Washington, DC, USA [email protected]), Adam Johns (Drexel University, Philadelphia, PA USA), Tathagata Chakraborti (IBM Research AI, Cambridge, MA USA), Kim Baraka (VU University Amsterdam, Netherlands), Isaac Lage (Harvard University, Cambridge, MA USA), David Martens (University of Antwerp, Belgium), Mohamed Chetouani (Sorbonne Universit, Paris, France), Peter Flach (University of Bristol, United Kingdom), Kacper Sokol (University of Bristol, United Kingdom), Ofra Amir (Technion, Haifa, Israel), Dimitrios Letsios (Kings College London, London, United Kingdom), Supplemental workshop site:https://sites.google.com/view/eaai-ws-2022/topic. The availability of massive amounts of data, coupled with high-performance cloud computing platforms, has driven significant progress in artificial intelligence and, in particular, machine learning and optimization. Hence, this workshop will focus on introducing research progress on applying AI to education and discussing recent advances of handling challenges encountered in AI educational practice. GNES: Learning to Explain Graph Neural Networks. In Proceedings of the 20th International Conference on Data Mining (ICDM 2020), (acceptance rate: 9.8%), November 17-20, 2020, Virtual Event, Sorrento, Italy, 10 pages. Roco Mercado, Massachusetts Institute of Technology. Viliam Lisy (Czech Technical University in Prague, [email protected]), Noam Brown (Facebook AI Research, [email protected]), Martin Schmid (DeepMind, [email protected]), Supplemental Workshop site:http://aaai-rlg.mlanctot.info/. New self-supervised proxy tasks or new approaches using self-supervised models in speech and audio processing. The KDD 2022 program promises to be the most robust and diverse to date, with keynote presentations, industry-led sessions, workshops, and tutorials spanning a wide range of topics - from data-driven humanitarian mapping and applied data science in healthcare to the uses of artificial intelligence (AI) for climate mitigation and decision . We especially welcome research from fields including but not limited to AI, human-computer interaction, human-robot interaction, cognitive science, human factors, and philosophy. December, 09-12, 2022. Thank you for all your contributions, our, Paper submission deadline is now extended to. The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), (Acceptance Rate: 25.6%), to appear, 2022. We also welcome submissions that are currently under consideration in such archival venues. The submission website ishttps://easychair.org/conferences/?conf=fl-aaai-22. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020), (acceptance rate: 16.8%), August 23-27, 2020, Virtual Event, CA, USA. Malicious attacks for ML models to identify their vulnerability in black-box/real-world scenarios. Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala. The eligibility criteria for attending the workshop will be registration in the conference/workshop as per AAAI norms. A primary reason for this is the inherent long-tailed nature of our world, and the need for algorithms to be trained with large amounts of data that includes as many rare events as possible. the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) (acceptance rate: 20.6%), Stockholm, Sweden, Jul 2018, accepted. Contrast Pattern Mining in Paired Multivariate Time Series of Controlled Driving Behavior Experiment. Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao. Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, and Naren Ramakrishnan. It is valuable to bring together researchers and practitioners from different application domains to discuss their experiences, challenges, and opportunities to leverage cross-domain knowledge. 3434-3440, Melbourne, Australia, Aug 2017. It further combines academia and industry in a quest for well-founded practical solutions. It is difficult to expose false claims before they create a lot of damage. IEEE Transactions on Pattern Analysis and Machine Intelligence (Impact Factor: 24.31), accepted. The submitted papers written in English must be in PDF format according to the AAAI camera ready style. Papers that are under review at another conference or journal are acceptable for submission at this workshop, but we will not accept papers that have already been accepted or published at a venue with formal proceedings (including KDD 2022). Your Style Your Identity: LeveragingWriting and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network, The Web Conference (WWW 2019), short paper, (acceptance rate: 20%), accepted, 2019. Previously published work (or under-review) is acceptable. We invite thought-provoking submissions on a range of topics in fields including, but not limited to, the following areas: The full-day workshop will start with a keynote talk, followed by an invited talk and contributed paper presentations in the morning. This topic encompasses forms of Neural Architecture Search (NAS) in which the performance properties of each architecture, after some training, are used to guide the selection of the next architecture to be tried. Recent years have witnessed growing interest in human and AI systems with the increasing realisation that machines can indeed meet objectives specified but the real question becomes have they been given the right objectives. Interesting challenges in this domain include the drastic increase of work from home or remote work, the imbalance between the demand and supply of the job market, the popularity of independent workers, the capability of helping job seekers on their whole job seeking journey and career development, the different objectives and behaviors of all major stakeholders in the ecosystem, e.g. 40 attendees including: invited speakers, authors of accepted papers and shared task participants. Consult the list of programs available in the next session. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. All submissions must be in PDF format and formatted according to the new Standard AAAI Conference Proceedings Template. https://doi.org/10.1007/s10707-019-00376-9. Aug 11, 2022: Get early access for registration at L Street Bridge, Washington DC Convention Center, from 4-6 pm, Saturday, August 13. Liang Zhao, Junxiang Wang, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. The 11th International Conference on Learning Representations (ICLR 2023), accepted. Yuyang Gao, Tong Sun, Guangji Bai, Siyi Gu, Sungsoo Hong, and Liang Zhao. Are you sure you want to create this branch? Qingzhe Li, Liang Zhao, Jessica Lin and Yi-ching Lee. 639-648, Nov 2015. The topics of interest include but are not limited to: Theoretical and Computational Optimal Transport: Optimal Transport-Driven Machine Learning: Optimal Transport-Based Structured Data Modeling: The full-day workshop will start with two long talks and one short talk in the morning. Nowadays, machine learning solutions are widely deployed. As for the Kraken, they made one trade a month ago to acquire a seventh defenceman, Jaycob Megna and did nothing else (from 'Kraken remain quiet as NHL trade deadline passes,' The Seattle . 205-214, San Francisco, California, Aug 2016. robust and interpretable natural language processing for healthcare. a tutorial on how to structure data mining papers by Prof. Xindong Wu (University of Louisiana at Lafayette). Integration of neuro and symbolic approaches. At the AAAI-22 Workshop on Scientific Document Understanding (SDU@AAAI-22), we aim to gather insights into the recent advances and remaining challenges on scientific document understanding. The workshop also welcomes participants of SUPERB and Zero Speech challenge to submit their results. Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints. Template guidelines are here:https://www.acm.org/publications/proceedings-template. You signed in with another tab or window. These cookies will be stored in your browser only with your consent. Conference stats are visualized below for a straightforward comparison. Despite the great success of deep neural networks (DNNs) in many artificial intelligence (AI) tasks, they still suffer from limitations, such as poor generalization behavior for out-of-distribution (OOD) data, vulnerability to adversarial examples, and the black-box nature of DNNs. This workshop aims to bring together researchers and practitioners working on different facets of these problems, from diverse backgrounds to share challenges, new directions, recent research results, and lessons from applications. The AAAI author kit can be downloaded from:https://www.aaai.org/Publications/Templates/AuthorKit22.zip. But opting out of some of these cookies may affect your browsing experience. "Multi-Task Learning for Spatio-Temporal Event Forecasting." Unsupervised Deep Subgraph Anomaly Detection. 2022. The workshop will focus on both the theoretical and practical challenges related to the design of privacy-preserving AI systems and algorithms and will have strong multidisciplinary components, including soliciting contributions about policy, legal issues, and societal impact of privacy in AI. Attendance is open to all registered participants. STGEN: Deep Continuous-time Spatiotemporal Graph Generation. Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. Submit to:https://easychair.org/conferences/?conf=imlaaai22, Elizabeth DalyAddress: IBM Dublin Technology Campus, Dublin 15, IrelandEmail: [email protected], Elizabeth Daly, IBM Research, Ireland ([email protected]), znur Alkan, IBM Research, Ireland ([email protected]), Stefano Teso, University of Trento, Italy ([email protected]), Wolfgang Stammer, TU Darmstadt, Germany ([email protected]), Workshop URL:https://sites.google.com/view/aaai22-imlw. We will also have a panel discussion on the current and future of GNNs on both research and industry.
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