LoG Meetup @ Stanford

​Join the Bay Area Local Meet-Up for the Learning on Graph Conference 2023, an event hosted by the SNAP Group! Connect with fellow enthusiasts and experts in the field, and dive into the latest advancements and applications of graph learning. Don't miss this opportunity to network and share insights with the community!

​Tentative schedule:

2:00-2:30 Niharika D’Souza (IBM Research)

​MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction

​2:30-3:00 Serina Chang (Stanford)

​Inferring Networks from Marginals Using Iterative Proportional Fitting

​3:00-3:30 Vignesh Kothapalli (LinkedIn)

​A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks

​3:30-4:00 Xiang song (Amazon)

​Fast-track graph ML with GraphStorm: A new way to solve problems on enterprise-scale graphs.

​4:00-4:30 Vassilis N Ioannidis (Amazon)

​Language and graph foundational models: Distillation, Pretraining, and graph-aware LLMs

​4:30-5:00 Social