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Graph Theory

1375 directly classified papers

Papers per year

Papers

Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024
A Unified Characterization of Private Learnability via Graph Theory COLT 2024
Random Subgraph Detection Using Queries JMLR 2024
ProG: A Graph Prompt Learning Benchmark NIPS 2024
Graph Edit Distance with General Costs Using Neural Set Divergence NIPS 2024
UGC: Universal Graph Coarsening NIPS 2024
Multidimensional Fractional Programming for Normalized Cuts NIPS 2024
A tensor factorization model of multilayer network interdependence JMLR 2024
Axiomatic effect propagation in structural causal models JMLR 2024
Functional Directed Acyclic Graphs JMLR 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks NIPS 2024
Exploration of the Search Space of Gaussian Graphical Models for Paired Data JMLR 2024
Breaking the curse of dimensionality in structured density estimation NIPS 2024
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits NIPS 2024
Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust NIPS 2024
Stochastic contextual bandits with graph feedback: from independence number to MAS number NIPS 2024
Towards Cross-Linguistic Semantic Grounding using Dictionary Graph Analysis EMNLP 2024
Low-degree phase transitions for detecting a planted clique in sublinear time COLT 2024
Pure Message Passing Can Estimate Common Neighbor for Link Prediction NIPS 2024
Why the Metric Backbone Preserves Community Structure NIPS 2024
Towards Dynamic Message Passing on Graphs NIPS 2024
On Sufficient Graphical Models JMLR 2024
On the Expressive Power of Tree-Structured Probabilistic Circuits NIPS 2024
DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion ACL 2024