← Back to papers

2024 ICML ICML 2024

Position: Future Directions in the Theory of Graph Machine Learning

Authors

Christopher Morris , Fabrizio Frasca , Nadav Dym , Haggai Maron , İsmail İlkan Ceylan , Ron Levie , Derek Lim , Michael M. Bronstein , Martin Grohe , Stefanie Jegelka

Related papers

Learning Latent Dynamic Robust Representations for World Models 2024

Beyond Individual Input for Deep Anomaly Detection on Tabular Data 2024

Risk Estimation in a Markov Cost Process: Lower and Upper Bounds 2024

Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval 2024

Ranking-based Client Imitation Selection for Efficient Federated Learning 2024