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Graph Theory

1375 directly classified papers

Papers per year

Papers

Pure Message Passing Can Estimate Common Neighbor for Link Prediction NIPS 2024
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks AAAI 2024
UGC: Universal Graph Coarsening NIPS 2024
Variance estimation in graphs with the fused lasso JMLR 2024
Low-degree phase transitions for detecting a planted clique in sublinear time COLT 2024
On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions? AAAI 2024
ProG: A Graph Prompt Learning Benchmark NIPS 2024
Massively Parallel Single-Source SimRanks in O(log N) Rounds IJCAI 2024
Breaking the curse of dimensionality in structured density estimation NIPS 2024
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion AAAI 2024
An Impossibility Theorem for Node Embedding AISTATS 2024
Individual-centered Partial Information in Social Networks JMLR 2024
Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method JMLR 2024
Stochastic contextual bandits with graph feedback: from independence number to MAS number NIPS 2024
Complete Neural Networks for Complete Euclidean Graphs AAAI 2024
Learning the Topology and Behavior of Discrete Dynamical Systems AAAI 2024
Why the Metric Backbone Preserves Community Structure NIPS 2024
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology JMLR 2024
A Unified Characterization of Private Learnability via Graph Theory COLT 2024
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method AISTATS 2024
Learning-Based Algorithms for Graph Searching Problems AISTATS 2024
Low Degree Hardness for Broadcasting on Trees NIPS 2024
Graph Partitioning with a Move Budget AISTATS 2024
Computing epidemic metrics with edge differential privacy AISTATS 2024
Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract) COLT 2024