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Graph Theory

1375 directly classified papers

Papers per year

Papers

A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems AAAI 2020
Graph Coarsening with Preserved Spectral Properties AISTATS 2020
A Novel Higher-order Weisfeiler-Lehman Graph Convolution ACML 2020
Efficient Learning of Discrete Graphical Models NIPS 2020
Inferring Degrees from Incomplete Networks and Nonlinear Dynamics IJCAI 2020
Hierarchical Human Parsing With Typed Part-Relation Reasoning CVPR 2020
Graph Structure of Neural Networks ICML 2020
Message Passing for Hyper-Relational Knowledge Graphs EMNLP 2020
Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters AISTATS 2020
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures AISTATS 2020
Inference of Dynamic Graph Changes for Functional Connectome AISTATS 2020
Learning the piece-wise constant graph structure of a varying Ising model ICML 2020
Learning Opinions in Social Networks ICML 2020
p-Norm Flow Diffusion for Local Graph Clustering ICML 2020
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs ICML 2020
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos ICML 2020
Learning Mixtures of Graphs from Epidemic Cascades ICML 2020
Learning Quadratic Games on Networks ICML 2020
Learning metrics for persistence-based summaries and applications for graph classification NIPS 2019
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? AAAI 2019
Relation Structure-Aware Heterogeneous Information Network Embedding AAAI 2019
Exclusivity Graph Approach to Instrumental Inequalities UAI 2019
Random Clique Covers for Graphs with Local Density and Global Sparsity UAI 2019
Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data AAAI 2019
Determining Solvability in the Birds of a Feather Card Game AAAI 2019