Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
54:55
Towards Better Evaluation for Dynamic Link Prediction | Andy Huang and Farimah Poursafaei
1:48:28
On the Expressive Power of Geometric Graph Neural Networks | Chaitanya K. Joshi & Simon V. Mathis
1:17:00
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold | Lazar Atanackovic
1:42:41
Equivariant Subgraph Aggregation Networks | Beatrice Bevilacqua, Fabrizio Frasca & Derek Lim
1:21:48
Probabilistic Inference in Language Models via Twisted Sequential Monte | Rob Brekelmans
2:51:00
PARALEL EVRENLER: Başka gerçeklikler var mı?
1:15:31
Geometric deep learning framework for de novo genome assembly | Lovro Vrček
1:39:31