Graph Theory

Clustering multilayer graphs with missing nodes AISTATS 2021 Communicative Message Passing for Inductive Relation Reasoning AAAI 2021 Computing Optimal Hypertree Decompositions with SAT IJCAI 2021 Confluent Vessel Trees With Accurate Bifurcations CVPR 2021 Consistent Nonparametric Methods for Network Assisted Covariate Estimation ICML 2021 Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities NeurIPS 2021 DAGs with No Curl: An Efficient DAG Structure Learning Approach ICML 2021 Decomposable Submodular Function Minimization via Maximum Flow ICML 2021 Deep Graph Spectral Evolution Networks for Graph Topological Evolution AAAI 2021 DeepWalking Backwards: From Embeddings Back to Graphs ICML 2021 Dependency in DAG models with hidden variables UAI 2021 Determining the Number of Communities in Degree-corrected Stochastic Block Models JMLR 2021 Differentially Private Densest Subgraph Detection ICML 2021 Diffusion Source Identification on Networks with Statistical Confidence ICML 2021 Directed Graph Contrastive Learning NeurIPS 2021 Directed Probabilistic Watershed NeurIPS 2021 Discovering Fully Oriented Causal Networks AAAI 2021 Diverse Message Passing for Attribute with Heterophily NeurIPS 2021 Dividing a Graphical Cake AAAI 2021 Dynamic Rebalancing Dockless Bike-Sharing System based on Station Community Discovery IJCAI 2021 Edge Sampling Using Local Network Information JMLR 2021 Efficient Bayesian network structure learning via local Markov boundary search NeurIPS 2021 Efficient Deformable Shape Correspondence via Multiscale Spectral Manifold Wavelets Preservation CVPR 2021 Efficient Sampling of Dependency Structure EMNLP 2021 Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path AAAI 2021