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Haggai Maron: Subgraph-based networks for expressive, efficient, and domain-independent graph...
Subgraph-based networks for expressive, efficient, and domain-independent graph learning
Graph Neural Network for Higher-Order Dependency Networks
Leveraging permutation group symmetries for designing equivariant neural networks - Haggai Maron
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
Equivariant Subgraph Aggregation Networks | Beatrice Bevilacqua, Fabrizio Frasca & Derek Lim
iGDL 2021 Israeli Geometric Deep Learning Workshop
Tutorial: Exploring the practical and theoretical landscape of expressive graph neural networks
Sign and Basis Invariant Networks for Spectral Graph Representation Learning | Lim & Robinson
Theory of Graph Neural Networks: Representation and Learning | Derek Lim
AMMI Course "Geometric Deep Learning" - Lecture 10 (Gauges) - Taco Cohen
Deep Learning on Graphs: Successes, Challenges, and Next Steps | Michael Bronstein
