weisfeiler-lehman test

Going Deeper into Permutation-Sensitive Graph Neural Networks ICML 2022 How Powerful are K-hop Message Passing Graph Neural Networks NeurIPS 2022 Redundancy-Free Message Passing for Graph Neural Networks NeurIPS 2022 Topological Graph Neural Networks ICLR 2022 Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries NeurIPS 2022 Weisfeiler-Lehman Meets Gromov-Wasserstein ICML 2022 Accurate Learning of Graph Representations with Graph Multiset Pooling ICLR 2021 Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective ICLR 2021 Breaking the Limits of Message Passing Graph Neural Networks ICML 2021 Directional Graph Networks ICML 2021 On the Universality of Graph Neural Networks on Large Random Graphs NeurIPS 2021 Weisfeiler and Lehman Go Cellular: CW Networks NeurIPS 2021 Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks ICML 2021 A Novel Higher-order Weisfeiler-Lehman Graph Convolution ACML 2020 Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning NeurIPS 2020 The Logical Expressiveness of Graph Neural Networks ICLR 2020 How Powerful are Graph Neural Networks? ICLR 2019 Provably Powerful Graph Networks NeurIPS 2019 Fast subtree kernels on graphs NeurIPS 2009