Individual Files
Presentations
Day One
- Keynote - The Road to AI Assurance in the Department of Defense - Yevgeniya (Jane) Pinelis
- Social Debunking of Misinformation on WhatsApp: The Case for Strong and In-group Ties - Matthew Baum
- Relational Causal Inference from Social Media Data - Elena Zheleva
- Conducting Socially Responsible and Ethical Research to Counter Mis/Dis/Malinformation - Amna Greaves
- Adversarial Network Analysis - Yevgeniy Vorobeychik
- How Graph Exploitation Exploits People: Discrimination in Information Flow in Social Networks - Ben Fish
Day Two
- Keynote - Just Machine Learning - Tina Eliassi-Rad
- AI x Mathematics - Petar Veličković
- Studying the (in)effectiveness of low dimensional graph embeddings - C. Seshadhri (Sesh)
- Partitioning Communication Streams into Graph Snapshots using EASEE - Jeremy Wendt
- Atomistic Line Graph Neural Network for Improved Materials Design - Kamal Choudhary
- AI-Driven Experimental Design for Novel Materials - Lin Li
- Forward and Inverse Design of Solid Materials with Graph Neural Networks - Tian Xie
Posters
- On the Relationship between Heterophily and Robustness of Graph Neural Networks - Jiong Zhu (link to file)
- GXAI-Bench: Evaluating Explainers for Graph Machine Learning Algorithms - Owen Queen (link to file)
- Explaining Graph Embeddings - Zohair Shafi (link to part 1) (link to part 2)
- Defense Against Shortest Path Attacks - Ben Miller (link to part 1) (link to part 2)
- Fast and Scalable Graph Neural Networks with PyTorch + SALIENT - Tim Kaler (link to part 1) (link to part 2)
- Understanding Graph Neural Network Fairness in the Presence of Heterophilic Neighborhoods - Donald Loveland (link to file)
- Exploring Materials Surfaces with Deep Learning for CO2 Reduction - Xiaochen Du (link to file)
- Factorization-Based Deep Generative Models for Graphs - William Shiao (link to file)