SYMPOSIUM OVERVIEW
 

09:00

Opening Remarks

Yevgeniya (Jane) Pinelis, Chief of AI Assurance at the
Department of Defense Joint Artificial Intelligence Center

The Road to AI Assurance in the Department of Defense
 

BREAK
 

10:15

 ETHICS ON
SOCIAL MEDIA

10:30

Matthew Baum, Harvard University

Social Debunking of Misinformation on WhatsApp: 
The Case for Strong and In-group Ties
 

11:00

Elena Zheleva, University of Illinois at Chicago

Relational Causal Inference from Social Media Data
 

11:30

Amna Greaves, MIT Lincoln Laboratory

Conducting Socially Responsible and Ethical Research to
Counter Mis/Dis/Malinformation
Download: Guiding Questions and Overarching Principles
 

LUNCH
 

12:00

13:00

Lightning Talks
 

13:30

Poster Session
 

BREAK
 

14:30

ROBUSTNESS

AND FAIRNESS

14:45

Yevgeniy Vorobeychik, Washington University in St. Louis

Adversarial Network Analysis
 

15:15

Ashley Prater Bennette, Air Force Research Laboratory

TBD
 

15:45

Ben Fish, University of Michigan

How Graph Exploitation Exploits People:
Discrimination in Information Flow in Social Networks

16:15

Closing Remarks
 

ADJOURN

16:30

SYMPOSIUM OVERVIEW
 

09:00

Opening Remarks
 

Tina Eliassi-Rad, Northeastern University

Just Machine Learning
 

BREAK
 

10:15

 GRAPH
REPRESENTATION

10:30

Petar Veličković, Deep Mind, Google

AI x Mathematics
 

11:00

C. Seshadhri (Sesh), University of California, Santa Cruz

Studying the (in)effectiveness of low dimensional graph embeddings
 

11:30

Jeremy Wendt, Sandia National Laboratories

Partitioning Communication Streams into Graph Snapshots
using EASEE
 

LUNCH
 

12:00

13:00

Lightning Talks
 

13:30

Poster Session
 

BREAK
 

14:30

GNN APPLICATIONS

14:45

Kamal Choudhary, National Institute of Standards
and Technology

Atomistic Line Graph Neural Network for
Improved Materials Design
 

15:15

Lin Li, MIT Lincoln Laboratory

AI-Driven Experimental Design for Novel Materials
 

15:45

Tian Xie, Massachusetts Institute of Technology

Forward and Inverse Design of Solid Materials with
Graph Neural Networks
 

16:15

Closing Remarks
 

ADJOURN

16:30

DAY 1

Jiong Zhu, University of Michigan

On the Relationship between Heterophily and Robustness of Graph Neural Networks

Owen Queen, The University of Tennessee, Knoxville

GXAI-Bench: Evaluating Explainers for Graph Machine Learning Algorithms

Zohair Shafi, Northeastern University

Explaining Graph Embeddings

Ben Miller, Northeastern University

Defense Against Shortest Path Attacks
 

DAY 2

Tim Kaler, Massachusetts Institute of Technology

Fast and Scalable Graph Neural Networks with PyTorch + SALIENT
 

Donald Loveland, University of Michigan

Understanding Graph Neural Network Fairness in the Presence
of Heterophilic Neighborhoods

Xiaochen Du, Massachusetts Institute of Technology

Exploring Materials Surfaces with Deep Learning for CO₂ Reduction

William Shiao, University of California, Riverside

Factorization-Based Deep Generative Models for Graphs