Graph Theory
1,461 papers
Papers per year
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14
6
14
10
20
27
34
36
54
60
44
53
90
125
150
164
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134
148
109
21
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Papers
Computing (1+epsilon)-Approximate Degeneracy in Sublinear Time
IJCAI 2023
Computing Twin-width with SAT and Branch & Bound
IJCAI 2023
Counting Background Knowledge Consistent Markov Equivalent Directed Acyclic Graphs
UAI 2023
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
ICML 2023
Deep Learning of Partial Graph Matching via Differentiable Top-K
CVPR 2023
Detection-Recovery and Detection-Refutation Gaps via Reductions from Planted Clique
COLT 2023
Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks
NeurIPS 2023
Directed Acyclic Graph Structure Learning from Dynamic Graphs
AAAI 2023
Directed Graphical Models and Causal Discovery for Zero-Inflated Data
CLeaR 2023
Distributed Community Detection in Large Networks
JMLR 2023
Do we become wiser with time? On causal equivalence with tiered background knowledge
UAI 2023
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
ICML 2023
Efficient Enumeration of Markov Equivalent DAGs
AAAI 2023
Efficient Graph Field Integrators Meet Point Clouds
ICML 2023
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
NeurIPS 2023
Establishing Markov equivalence in cyclic directed graphs
UAI 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
NeurIPS 2023
Exact Inference in High-order Structured Prediction
ICML 2023
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model
NeurIPS 2023
Expectation-Complete Graph Representations with Homomorphisms
ICML 2023
Exploring Graph Theory Methods For the Analysis of Pronunciation Variation in Spontaneous Speech
Interspeech 2023
Exploring Structural Similarity in Fitness Landscapes via Graph Data Mining: A Case Study on Number Partitioning Problems
IJCAI 2023
Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels
AAAI 2023
Factorization of the Partial Covariance in Singly-Connected Path Diagrams
CLeaR 2023
Faster approximate subgraph counts with privacy
NeurIPS 2023