Graph Theory

Featured Graph Coarsening with Similarity Guarantees ICML 2023 Fitting low-rank models on egocentrically sampled partial networks AISTATS 2023 Fitting trees to ℓ_1-hyperbolic distances NeurIPS 2023 Flattened Clos: Designing High-performance Deadlock-free Expander Data Center Networks Using Graph Contraction NSDI 2023 From Pseudorandomness to Multi-Group Fairness and Back COLT 2023 From Width-Based Model Checking to Width-Based Automated Theorem Proving AAAI 2023 Fully Computer-Assisted Proofs in Extremal Combinatorics AAAI 2023 Generalizing Downsampling from Regular Data to Graphs AAAI 2023 Graph-based multi-layer querying in Parseme Corpora EACL 2023 GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks ICML 2023 Graph Representation for Order-Aware Visual Transformation CVPR 2023 Graph Spectral Embedding using the Geodesic Betweenness Centrality AISTATS 2023 Hidden Schema Networks ACL 2023 Higher-Order Spectral Clustering Under Superimposed Stochastic Block Models JMLR 2023 Identifying and Eliminating Majority Illusion in Social Networks AAAI 2023 Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network NeurIPS 2023 Inference for a Large Directed Acyclic Graph with Unspecified Interventions JMLR 2023 Inference of a rumor’s source in the independent cascade model UAI 2023 In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks? IJCAI 2023 Is Planted Coloring Easier than Planted Clique? COLT 2023 K∗ Search over Orbit Space for Top-k Planning IJCAI 2023 Large sample spectral analysis of graph-based multi-manifold clustering JMLR 2023 Learning Relational Causal Models with Cycles through Relational Acyclification AAAI 2023 Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs ICML 2023 Learning to Count Isomorphisms with Graph Neural Networks AAAI 2023