Graph Theory

Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs NeurIPS 2020 Node Embeddings and Exact Low-Rank Representations of Complex Networks NeurIPS 2020 Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model NeurIPS 2020 Nonparametric graphical model for counts JMLR 2020 Non-revisiting Coverage Task with Minimal Discontinuities for Non-redundant Manipulators RSS 2020 On Efficient Adjustment in Causal Graphs JMLR 2020 Online Dense Subgraph Discovery via Blurred-Graph Feedback ICML 2020 On the Power of Louvain in the Stochastic Block Model NeurIPS 2020 On the Problem of Covering a 3-D Terrain AAAI 2020 On the Role of Sparsity and DAG Constraints for Learning Linear DAGs NeurIPS 2020 Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection COLT 2020 Optimizing Reachability Sets in Temporal Graphs by Delaying AAAI 2020 Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms JMLR 2020 PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures AISTATS 2020 p-Norm Flow Diffusion for Local Graph Clustering ICML 2020 Provable Overlapping Community Detection in Weighted Graphs NeurIPS 2020 Proximity Preserving Binary Code Using Signed Graph-Cut AAAI 2020 Random Intersection Graphs and Missing Data AAAI 2020 Reduction and Local Search for Weighted Graph Coloring Problem AAAI 2020 Reliable and Efficient Anytime Skeleton Learning AAAI 2020 Risk Guarantee Prediction in Networked-Loans IJCAI 2020 Robust Multi-Object Matching via Iterative Reweighting of the Graph Connection Laplacian NeurIPS 2020 Rumor Detection on Social Media with Graph Structured Adversarial Learning IJCAI 2020 Sampling Random Chordal Graphs by MCMC (Student Abstract) AAAI 2020 Scikit-network: Graph Analysis in Python JMLR 2020