Schedule 03.02
Time | Topic |
9:00 - 9:15 |
Opening remarks |
9:15 - 9:45 |
Topic 1: GNNs, the Weisfeiler-Lehman test and Graph Isomorphism Networks |
9:45 - 10:15 |
Topic 3: Graph transformers and graph positional encodings |
10:15 - 10:30 |
Break |
10:30 - 11:00 |
Topic 5: Hierachical GNNs |
11:00 - 11:30 |
Topic 6: Asynchronous message passing |
11:30 - 12:15 |
Lunch Break |
12:15 - 12:45 |
Topic 4: Geometric GNNs and their application to molecular property prediction |
12:45 - 13:15 |
Topic 9: GCPN: Combining GNNs and reinforcement learning for conditional molecular generation |
13:15 - 13:30 |
Break |
13:30 - 14:00 |
Topic 7: DiGress: discrete diffusion denoising for graph generation |
14:00 - 14:30 |
Topic 8: GNNExplainer |
14:30 |
Closing remarks |