Graph Theory

Publishing Number of Walks and Katz Centrality under Local Differential Privacy UAI 2024 Pure Message Passing Can Estimate Common Neighbor for Link Prediction NeurIPS 2024 Random Subgraph Detection Using Queries JMLR 2024 Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment IJCAI 2024 Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract) COLT 2024 Representing Compounding with OntoLex. An Evaluation of Vocabularies for Word Formation Resources COLING 2024 SaNN: Simple Yet Powerful Simplicial-aware Neural Networks ICLR 2024 Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization RSS 2024 Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method JMLR 2024 Semantic Routing via Autoregressive Modeling NeurIPS 2024 SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks AAAI 2024 SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision NeurIPS 2024 Stochastic contextual bandits with graph feedback: from independence number to MAS number NeurIPS 2024 Structural perspective on constraint-based learning of Markov networks AISTATS 2024 Submodular framework for structured-sparse optimal transport ICML 2024 Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary IJCAI 2024 The Attractor of the Replicator Dynamic in Zero-Sum Games ALT 2024 Thresholds for Reconstruction of Random Hypergraphs From Graph Projections COLT 2024 TopoGCL: Topological Graph Contrastive Learning AAAI 2024 Topological Node2vec: Enhanced Graph Embedding via Persistent Homology JMLR 2024 Towards Cross-Linguistic Semantic Grounding using Dictionary Graph Analysis EMNLP 2024 Towards Dynamic Message Passing on Graphs NeurIPS 2024 UGC: Universal Graph Coarsening NeurIPS 2024 Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs NeurIPS 2024 Variance estimation in graphs with the fused lasso JMLR 2024