Graph Theory

Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and their Spectral Theory JMLR 2020 Spectral Algorithms for Community Detection in Directed Networks JMLR 2020 Spectral Embedding of Regularized Block Models ICLR 2020 Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory ICML 2020 Statistical guarantees for local graph clustering AISTATS 2020 Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering NeurIPS 2020 Structure Learning for Cyclic Linear Causal Models UAI 2020 Swap Stability in Schelling Games on Graphs AAAI 2020 TellTail: Fast Scoring and Detection of Dense Subgraphs AAAI 2020 Temporal Relations Annotation and Extrapolation Based on Semi-intervals and Boundig Relations COLING 2020 The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application ICML 2020 The weight function in the subtree kernel is decisive JMLR 2020 Threshold Treewidth and Hypertree Width IJCAI 2020 Time-Inconsistent Planning: Simple Motivation Is Hard to Find AAAI 2020 Toward universal testing of dynamic network models ALT 2020 Tree-projected gradient descent for estimating gradient-sparse parameters on graphs COLT 2020 True Nonlinear Dynamics from Incomplete Networks AAAI 2020 Universal Latent Space Model Fitting for Large Networks with Edge Covariates JMLR 2020 Unsupervised Attributed Multiplex Network Embedding AAAI 2020 Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information JMLR 2020 Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings NeurIPS 2020 Well-Structured Committees IJCAI 2020 Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network AAAI 2020 HS^2: Active learning over hypergraphs with pointwise and pairwise queries AISTATS 2019 A Graph Theoretic Additive Approximation of Optimal Transport NeurIPS 2019