graph isomorphism

A Novel Sliced Fused Gromov-Wasserstein Distance AAAI 2026 On the Expressive Power of Sparse Geometric MPNNs ICLR 2025 Revisiting Random Walks for Learning on Graphs ICLR 2025 Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism NeurIPS 2024 Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability ICLR 2024 SAT-Based Algorithms for Regular Graph Pattern Matching AAAI 2024 Union Subgraph Neural Networks AAAI 2024 Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning NeurIPS 2024 Weisfeiler-Leman at the margin: When more expressivity matters ICML 2024 $\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks ICLR 2023 Co-Certificate Learning with SAT Modulo Symmetries IJCAI 2023 Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation ICLR 2023 Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power NeurIPS 2023 Expectation-Complete Graph Representations with Homomorphisms ICML 2023 Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman NeurIPS 2023 Fine-grained Expressivity of Graph Neural Networks NeurIPS 2023 From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks ICML 2023 Optimizing over trained GNNs via symmetry breaking NeurIPS 2023 PlanE: Representation Learning over Planar Graphs NeurIPS 2023 SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching ICML 2023 Substructure Aware Graph Neural Networks AAAI 2023 The expressive power of pooling in Graph Neural Networks NeurIPS 2023 Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points NeurIPS 2023 Weisfeiler and Leman go Machine Learning: The Story so far JMLR 2023 WL meet VC ICML 2023