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Graph Theory

1375 directly classified papers

Papers per year

Papers

Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization ICML 2019
Improved Dynamic Graph Learning through Fault-Tolerant Sparsification ICML 2019
GraSPy: Graph Statistics in Python JMLR 2019
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation NIPS 2019
Fast structure learning with modular regularization NIPS 2019
Graph Resistance and Learning from Pairwise Comparisons ICML 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs NIPS 2019
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity EMNLP 2019
Globally optimal score-based learning of directed acyclic graphs in high-dimensions NIPS 2019
Clause Learning and New Bounds for Graph Coloring IJCAI 2019
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions NIPS 2019
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications ICML 2019
An Algorithm to Learn Polytree Networks with Hidden Nodes NIPS 2019
Markov Properties of Discrete Determinantal Point Processes AISTATS 2019
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method EMNLP 2019
REM: From Structural Entropy to Community Structure Deception NIPS 2019
Structured Graph Learning Via Laplacian Spectral Constraints NIPS 2019
Direct Estimation of Differential Functional Graphical Models NIPS 2019
Random Walk Decay Centrality AAAI 2019
PTB Graph Parsing with Tree Approximation ACL 2019
Embedding Imputation with Grounded Language Information ACL 2019
Forming Probably Stable Communities with Limited Interactions AAAI 2019
Forbidden Nodes Aware Community Search AAAI 2019
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning NIPS 2019
Planting trees in graphs, and finding them back COLT 2019