Schedule 03.02

Schedule
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

 

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