Past talks from previous semester(s).
Date (Eastern Time) |
Presenter |
Topic |
Materials |
September 23, 2021 @ 4:00 PM |
RG Organizers |
Design Space for Graph Neural Networks |
[paper] |
October 7, 2021 @ 4:00 PM |
Alexander Tong, Yale University |
Diffusion Earth Mover’s Distance on graphs |
[1]
[2]
[video]
|
October 14, 2021 @ 4:00 PM |
Dominique Beaini, Valence Discovery |
Unlocking Deep Learning for Graphs |
[SAN]
[DGN]
[PNA]
[video]
|
October 21, 2021 @ 10:30 AM |
Benedek Rozemberczki, AstraZeneca |
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models |
[paper]
[video]
|
October 28, 2021 @ 10:00 AM |
Petar Veličković, DeepMind |
Neuralising a Computer Scientist: The Story So Far |
[paper]
[video]
|
November 4, 2021 @ 10:00 AM |
Matthias Fey, TU Dortmund University |
Pytorch Geometric 2.0 and Auto-Scaling GNNs |
[paper]
[video]
|
November 11, 2021 @ 4:00 PM |
Uri Alon, Carnegie Mellon University |
How Attentive are Graph Attention Networks? |
[paper]
[video]
|
November 18, 2021 @ 10:15 AM |
Bastian Rieck, Helmholtz Centre Munich |
Learning Topology-Based Graph Representations |
[1]
[2]
[3]
[video]
|
November 25, 2021 @ 4:00 PM |
Joey Bose, Mila & McGill |
Introduction to Equivariant GNNs |
[Tensor Field Nets]
[Schnet]
[EGNN]
[PAINN]
[GemNet]
[SpinConv]
[video]
|
December 2, 2021 @ 10:00 AM |
Johannes Klicpera, Technical University of Munich |
Incorporating Directionality in GNNs |
[DimeNet]
[GemNet]
[Synthetic coordinates]
[video]
|