Agenda

 

 DAY 1  16 MAY

      

SYMPOSIUM OVERVIEW
 

   

09:00

      

Opening Remarks

KEYNOTE   09:15

Yevgeniya (Jane) PinelisChief 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 BaumHarvard University

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

 

 

11:00

Elena ZhelevaUniversity of Illinois at Chicago

Relational Causal Inference from Social Media Data
 

 

11:30

Amna GreavesMIT 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 BennetteAir Force Research Laboratory

TBD
 

 

15:45

Ben FishUniversity of Michigan

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

 

16:15

Closing Remarks
 

ADJOURN

16:30

 

 

DAY 2  17 MAY

     

SYMPOSIUM OVERVIEW
 

     

09:00

     

Opening Remarks
 

KEYNOTE  09:15

Tina Eliassi-RadNortheastern University

Just Machine Learning
 

BREAK
 

10:15

 

 GRAPH
REPRESENTATION

10:30

Petar VeličkovićDeep 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 WendtSandia 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 LiMIT Lincoln Laboratory

AI-Driven Experimental Design for Novel Materials
 

 

15:45

Tian XieMassachusetts Institute of Technology

Forward and Inverse Design of Solid Materials with
Graph Neural Networks

 

 

16:15

Closing Remarks
 

ADJOURN

16:30

 

 

 

POSTER SESSIONS

      

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 MillerNortheastern 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 DuMassachusetts 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