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Graph Theory

190 papers

Papers per year

6
24
14
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'20
'25

Papers

Decoupling the Depth and Scope of Graph Neural Networks NIPS 2021
NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs NIPS 2021
Active Learning of Convex Halfspaces on Graphs NIPS 2021
Neural Trees for Learning on Graphs NIPS 2021
MagNet: A Neural Network for Directed Graphs NIPS 2021
IA-GM: A Deep Bidirectional Learning Method for Graph Matching AAAI 2021
Hybrid-order Stochastic Block Model AAAI 2021
Deep Graph Spectral Evolution Networks for Graph Topological Evolution AAAI 2021
Improving Maximum k-plex Solver via Second-Order Reduction and Graph Color Bounding AAAI 2021
Sampling Partial Acyclic Orientations in Chordal Graphs by the Lovasz Local Lemma (Student Abstract) AAAI 2021
Isometric Multi-Shape Matching CVPR 2021
Edge Sampling Using Local Network Information JMLR 2021
A Unified Framework for Spectral Clustering in Sparse Graphs JMLR 2021
Regularized spectral methods for clustering signed networks JMLR 2021
Adaptive Shrinkage Estimation for Streaming Graphs NIPS 2020
Discovering conflicting groups in signed networks NIPS 2020
Node Embeddings and Exact Low-Rank Representations of Complex Networks NIPS 2020
Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut NIPS 2020
Robustness of Community Detection to Random Geometric Perturbations NIPS 2020
Digraph Inception Convolutional Networks NIPS 2020
Provable Overlapping Community Detection in Weighted Graphs NIPS 2020
Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes AAAI 2020
Hiding in Multilayer Networks AAAI 2020
Incremental Symmetry Breaking Constraints for Graph Search Problems AAAI 2020
TellTail: Fast Scoring and Detection of Dense Subgraphs AAAI 2020