DAY 1 16 MAY
SYMPOSIUM OVERVIEW |
09:00 |
Opening Remarks |
KEYNOTE | 09:15 |
Yevgeniya (Jane) Pinelis, Chief of AI Assurance at the The Road to AI Assurance in the Department of Defense |
BREAK |
10:15 |
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ETHICS ON |
10:30 |
Matthew Baum, Harvard University Social Debunking of Misinformation on WhatsApp: |
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11:00 |
Elena Zheleva, University of Illinois at Chicago Relational Causal Inference from Social Media Data |
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11:30 |
Amna Greaves, MIT Lincoln Laboratory Conducting Socially Responsible and Ethical Research to |
LUNCH |
12:00 |
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13:00 |
Lightning Talks |
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13:30 |
Poster Session |
BREAK |
14:30 |
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ROBUSTNESS AND FAIRNESS |
14:45 |
Yevgeniy Vorobeychik, Washington University in St. Louis Adversarial Network Analysis |
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15:15 |
Ashley Prater Bennette, Air Force Research Laboratory TBD |
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15:45 |
Ben Fish, University of Michigan How Graph Exploitation Exploits People: |
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16:15 |
Closing Remarks |
ADJOURN |
16:30 |
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DAY 2 17 MAY
SYMPOSIUM OVERVIEW |
09:00 |
Opening Remarks |
KEYNOTE | 09:15 |
Tina Eliassi-Rad, Northeastern University Just Machine Learning |
BREAK |
10:15 |
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GRAPH |
10:30 |
Petar Veličković, Deep Mind, Google AI x Mathematics |
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11:00 |
C. Seshadhri (Sesh), University of California, Santa Cruz Studying the (in)effectiveness of low dimensional graph embeddings |
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11:30 |
Jeremy Wendt, Sandia National Laboratories Partitioning Communication Streams into Graph Snapshots |
LUNCH |
12:00 |
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13:00 |
Lightning Talks |
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13:30 |
Poster Session |
BREAK |
14:30 |
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GNN APPLICATIONS |
14:45 |
Kamal Choudhary, National Institute of Standards Atomistic Line Graph Neural Network for |
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15:15 |
Lin Li, MIT Lincoln Laboratory AI-Driven Experimental Design for Novel Materials |
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15:45 |
Tian Xie, Massachusetts Institute of Technology Forward and Inverse Design of Solid Materials with |
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16:15 |
Closing Remarks |
ADJOURN |
16:30 |
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POSTER SESSIONS
DAY 1 |
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Jiong Zhu, University of Michigan On the Relationship between Heterophily and Robustness of Graph Neural Networks
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Owen Queen, The University of Tennessee, Knoxville GXAI-Bench: Evaluating Explainers for Graph Machine Learning Algorithms
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Zohair Shafi, Northeastern University Explaining Graph Embeddings
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Ben Miller, Northeastern University Defense Against Shortest Path Attacks
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DAY 2 |
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Tim Kaler, Massachusetts Institute of Technology Fast and Scalable Graph Neural Networks with PyTorch + SALIENT |
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Donald Loveland, University of Michigan Understanding Graph Neural Network Fairness in the Presence
Xiaochen Du, Massachusetts Institute of Technology Exploring Materials Surfaces with Deep Learning for CO2 Reduction
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William Shiao, University of California, Riverside Factorization-Based Deep Generative Models for Graphs |
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