 An Efficient Subgraph GNN with Provable Substructure Counting PowerKnowledge Discovery and Data Mining (KDD), 2023 |
 Equivariant Polynomials for Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2023 |
 Boosting the Cycle Counting Power of Graph Neural Networks with
I-GNNsInternational Conference on Learning Representations (ICLR), 2022 |
 Sign and Basis Invariant Networks for Spectral Graph Representation
LearningInternational Conference on Learning Representations (ICLR), 2022 |
 Graph Neural Networks with Local Graph ParametersNeural Information Processing Systems (NeurIPS), 2021 |
 Scalars are universal: Equivariant machine learning, structured like
classical physicsNeural Information Processing Systems (NeurIPS), 2021 |
