Graph Theory

Globally optimal score-based learning of directed acyclic graphs in high-dimensions NeurIPS 2019 Graph-Based Meaning Representations: Design and Processing ACL 2019 Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks AAAI 2019 Graphical One-Sided Markets IJCAI 2019 Graph Normalizing Flows NeurIPS 2019 Graph Resistance and Learning from Pairwise Comparisons ICML 2019 Graph Space Embedding IJCAI 2019 GraSPy: Graph Statistics in Python JMLR 2019 Guarantees for Spectral Clustering with Fairness Constraints ICML 2019 High-dimensional Mixed Graphical Model with Ordinal Data: Parameter Estimation and Statistical Inference AISTATS 2019 Higher-Order Multi-Layer Community Detection AAAI 2019 How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? AAAI 2019 Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models AISTATS 2019 Identifying Android Malware Using Network-Based Approaches AAAI 2019 Improved Dynamic Graph Learning through Fault-Tolerant Sparsification ICML 2019 Incorporating Network Embedding into Markov Random Field for Better Community Detection AAAI 2019 Inference and Sampling of K_33-free Ising Models ICML 2019 K-Core Maximization: An Edge Addition Approach IJCAI 2019 Large Scale Evolving Graphs with Burst Detection IJCAI 2019 Latent distance estimation for random geometric graphs NeurIPS 2019 Learning Erdos-Renyi Random Graphs via Edge Detecting Queries NeurIPS 2019 Learning metrics for persistence-based summaries and applications for graph classification NeurIPS 2019 Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method IJCAI 2019 Learning Unfaithful K-separable Gaussian Graphical Models JMLR 2019 Lovasz Convolutional Networks AISTATS 2019