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.