Individual Files

*GraphEx Proceedings 2023*- Graphex 2023 Group Photo

Presentations

Day One

- Keynote - Understanding and Improving Graph Neural Networks: Stability, and Benefits of Invariances - Stefanie Jegelka
- Machine Learning on Large Scale Graphs: Limit Properties of Convolutional Operators on Graphs - Alejandro Ribeiro
- Intuition for Data Type and Interactions in Euclidean Neural Networks - Tess Smidt
- Simulating Radar Using Equivariant Graph Neural Networks - Robin Walters
- When Can Graph Neural Networks Work? - Jiliang Tang
- Discovering Structure in a Time Series of Networks via the Iso-mirror - Carey Priebe
- Finding Temporal Dense Regions of Temporal Graphs - Kasimir Gabert

Day Two

*Keynote - Graph Analytics for Information Services - Robert Bonneau*- Opinion Dynamics, News Subscription Networks, and Media Bias - Ali Jadbabaie
- Path-Specific Network Causal Influence in the Presence of Communities - Yaron Rachlin
- Unconfoundedness with Network Interference - Michael Leung
- 3S in Distributed Graph Neural Networks: Sparse Communication, Sampling, and Scalability - Aydın Buluç
- GraphBLAS Innovations - Jeremy Kepner

Posters

- Optimizing Defense Against Shortest Path Attacks - Benjamin Miller et al.
- GRASP: Accelerating Shortest Path Attacks via Graph Attention - Zohair Shafi et al.
- Application of GNNs in Reinforcement Learning on Computer Networks - Tim Reid et al.
- Optimizing Randomized and Deterministic Saturation Designs under Interference - Chencheng Cai et al.
- Targeted Few-Shot Named Entity and Relation Extraction Using Text Entailment - Olga Simek, Erica Cai et al.
- Fast and Accurate Charge Density Prediction with Equivariant GNNs - Thomas Koker et al.
- SARS-CoV-2 Sequences Misclassification Network Spatial-Temporal Analysis - Wan He et al.
- Autosurf: Automated Expert-Guided Meshing with Graph Neural Networks and Conformal Predictions - Amin Nobari, Faez Ahmed et al.