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)