Graph Theory

Generalized and Sub-Optimal Bipartite Constraints for Conflict-Based Search AAAI 2020 Generalized Nonbacktracking Bounds on the Influence JMLR 2020 Goodness-of-Fit Tests for Inhomogeneous Random Graphs ICML 2020 Graph Coarsening with Preserved Spectral Properties AISTATS 2020 Graphical continuous Lyapunov models UAI 2020 Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective IJCAI 2020 Graph Structure of Neural Networks ICML 2020 Gromov-Wasserstein Factorization Models for Graph Clustering AAAI 2020 HGMAN: Multi-Hop and Multi-Answer Question Answering Based on Heterogeneous Knowledge Graph (Student Abstract) AAAI 2020 Hiding in Multilayer Networks AAAI 2020 Hierarchical Human Parsing With Typed Part-Relation Reasoning CVPR 2020 High-dimensional Gaussian graphical models on network-linked data JMLR 2020 Higher-Order Spectral Clustering of Directed Graphs NeurIPS 2020 History to Myths: Social Network Analysis for Comparison of Stories over Time COLING 2020 Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study ICML 2020 Incremental Symmetry Breaking Constraints for Graph Search Problems AAAI 2020 Inference of Dynamic Graph Changes for Functional Connectome AISTATS 2020 Inferring Degrees from Incomplete Networks and Nonlinear Dynamics IJCAI 2020 Learning Dynamic Relationships for 3D Human Motion Prediction CVPR 2020 Learning Gaussian Graphical Models via Multiplicative Weights AISTATS 2020 Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters AISTATS 2020 Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables JMLR 2020 Learning Mixed Latent Tree Models JMLR 2020 Learning Mixtures of Graphs from Epidemic Cascades ICML 2020 Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification CVPR 2020