Graph Theory

Learning Opinions in Social Networks ICML 2020 Learning Quadratic Games on Networks ICML 2020 Learning Some Popular Gaussian Graphical Models without Condition Number Bounds NeurIPS 2020 Learning Sparse Nonparametric DAGs AISTATS 2020 Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer AAAI 2020 Learning the piece-wise constant graph structure of a varying Ising model ICML 2020 Learning to Simulate Complex Physics with Graph Networks ICML 2020 Learning Triple Embeddings from Knowledge Graphs AAAI 2020 Leveraging Graph to Improve Abstractive Multi-Document Summarization ACL 2020 Lifted Fact-Alternating Mutex Groups and Pruned Grounding of Classical Planning Problems AAAI 2020 Long-Term Loop Closure Detection through Visual-Spatial Information Preserving Multi-Order Graph Matching AAAI 2020 Manifold structure in graph embeddings NeurIPS 2020 Marginal Densities, Factor Graph Duality, and High-Temperature Series Expansions AISTATS 2020 Maximum Likelihood Embedding of Logistic Random Dot Product Graphs AAAI 2020 Measurement Dependence Inducing Latent Causal Models UAI 2020 Measuring Information Propagation in Literary Social Networks EMNLP 2020 Message Passing for Hyper-Relational Knowledge Graphs EMNLP 2020 Meta-Learning on Graph with Curvature-Based Analysis (Student Abstract) AAAI 2020 Midas: Microcluster-Based Detector of Anomalies in Edge Streams AAAI 2020 Mining Topological Structure in Graphs through Forest Representations JMLR 2020 Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction IJCAI 2020 Morphism-Based Learning for Structured Data AAAI 2020 Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text CVPR 2020 Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition AAAI 2020 Network Schema Preserving Heterogeneous Information Network Embedding IJCAI 2020