← Foundations
Computer Science › Foundations ›

Graph Theory

189 directly classified papers

Papers per year

Papers

Deep Graph Spectral Evolution Networks for Graph Topological Evolution AAAI 2021
Isometric Multi-Shape Matching CVPR 2021
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction NIPS 2021
MagNet: A Neural Network for Directed Graphs NIPS 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation NIPS 2021
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
Sampling Partial Acyclic Orientations in Chordal Graphs by the Lovasz Local Lemma (Student Abstract) AAAI 2021
Improving Maximum k-plex Solver via Second-Order Reduction and Graph Color Bounding AAAI 2021
Hybrid-order Stochastic Block Model AAAI 2021
IA-GM: A Deep Bidirectional Learning Method for Graph Matching AAAI 2021
Hiding in Multilayer Networks AAAI 2020
Graph Structure of Neural Networks ICML 2020
Generalized Nonbacktracking Bounds on the Influence JMLR 2020
Spectral Algorithms for Community Detection in Directed Networks JMLR 2020
Mining Topological Structure in Graphs through Forest Representations JMLR 2020
Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes AAAI 2020
Incremental Symmetry Breaking Constraints for Graph Search Problems AAAI 2020
TellTail: Fast Scoring and Detection of Dense Subgraphs AAAI 2020
Proximity Preserving Binary Code Using Signed Graph-Cut AAAI 2020
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk AAAI 2020
CGD: Multi-View Clustering via Cross-View Graph Diffusion AAAI 2020
Optimizing Reachability Sets in Temporal Graphs by Delaying AAAI 2020