Graph Theory

Priori Anchor Labels Supervised Scalable Multi-View Bipartite Graph Clustering AAAI 2023 Projected Tensor Power Method for Hypergraph Community Recovery ICML 2023 Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More NeurIPS 2023 Python package for causal discovery based on LiNGAM JMLR 2023 Quantifying Human Priors over Social and Navigation Networks ICML 2023 Quantifying Network Similarity using Graph Cumulants JMLR 2023 Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions COLT 2023 Reconstructing an Epidemic Outbreak Using Steiner Connectivity AAAI 2023 Revisiting Bayesian network learning with small vertex cover UAI 2023 Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract) IJCAI 2023 Sampling random graph homomorphisms and applications to network data analysis JMLR 2023 Scalable and Effective Conductance-Based Graph Clustering AAAI 2023 Scalable Unbalanced Sobolev Transport for Measures on a Graph AISTATS 2023 Separate but Equal: Equality in Belief Propagation for Single Cycle Graphs AAAI 2023 Sharp thresholds in inference of planted subgraphs COLT 2023 Signed Laplacian Graph Neural Networks AAAI 2023 Speeding Up Bellman Ford via Minimum Violation Permutations ICML 2023 Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs ICML 2023 Subsampling in Large Graphs Using Ricci Curvature ICLR 2023 Taming graph kernels with random features ICML 2023 Temporal Graph Benchmark for Machine Learning on Temporal Graphs NeurIPS 2023 Temporal Network Creation Games IJCAI 2023 The k-Cap Process on Geometric Random Graphs COLT 2023 The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models NeurIPS 2023 The Hyperspherical Geometry of Community Detection: Modularity as a Distance JMLR 2023