Day 1
15 August
0900 Opening Remarks
0915 Keynote
Stefanie Jegelka, Massachusetts Institute of Technology
Understanding and Improving Graph Neural Networks:
Stability, and Benefits of Invariances
1015 Break
1030 Session 1
Alejandro Ribeiro, University of Pennsylvania
Machine Learning on Large Scale Graphs:
Limit Properties of Convolutional Operators on Graphs
Tess Smidt, Massachusetts Institute of Technology
Intuition for Data Type and Interactions in
Euclidean Neural Networks
Robin Walters, Northeastern University
Simulating Radar Using Equivariant Graph Neural Networks
1200 Group Photo
1215 Lunch
1345 Session 2
Jiliang Tang, Michigan State University
When Can Graph Neural Networks Work?
Carey Priebe, Johns Hopkins University
Discovering Structure in a Time Series of Networks via the Iso-mirror
Kasimir Gabert, Sandia National Laboratories
Finding Temporal Dense Regions of Temporal Graphs
1515 Break
1530 Poster Session
1700 Break / Check-in
1730 Reception
1900 Banquet
Day 2
16 August
0900 Opening Remarks
0915 Keynote
Robert Bonneau, USD(R&E)
Graph Analytics for Information Services
1015 Break
1030 Session 3
Ali Jadbabaie, Massachusetts Institute of Technology
Opinion Dynamics, News Subscription Networks, and Media Bias
Yaron Rachlin, MIT Lincoln Laboratory
Path-Specific Network Causal Influence in the Presence of Communities
Michael Leung, University of California, Santa Cruz
Unconfoundedness with Network Interference
1200 Lunch
1315 Session 4
Aydın Buluç, Lawrence Berkeley National Laboratory
3S in Distributed Graph Neural Networks:
Sparse Communication, Sampling, and Scalability
Jeremy Kepner, MIT Lincoln Laboratory
GraphBLAS Innovations
1415 Adjourn
Poster Session
Optimizing Defense Against Shortest Path Attacks
Benjamin Miller et al., Northeastern University
GRASP: Accelerating Shortest Path Attacks via Graph Attention
Zohair Shafi et al., Northeastern University
Application of GNNs in Reinforcement Learning on Computer Networks
Tim Reid et al., MIT Lincoln Laboratory
Optimizing Randomized and Deterministic Saturation Designs under Interference
Chencheng Cai et al., Temple University
Targeted Few-Shot Named Entity and Relation Extraction Using Text Entailment
Olga Simek, Erica Cai et al., MIT Lincoln Laboratory
Fast and Accurate Charge Density Prediction with Equivariant GNNs
Thomas Koker et al., MIT Lincoln Laboratory
SARS-CoV-2 Sequences Misclassification Network Spatial-Temporal Analysis
Wan He et al., Northeastern University
Autosurf: Automated Expert-Guided Meshing with Graph Neural Networks and
Conformal Predictions
Amin Nobari, Faez Ahmed et al., Massachusetts Institute of Technology