Graph Theory

Axiomatic effect propagation in structural causal models JMLR 2024 Bayesian Optimization of Functions over Node Subsets in Graphs NeurIPS 2024 Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution AAAI 2024 Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering ICML 2024 Breaking the curse of dimensionality in structured density estimation NeurIPS 2024 Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters RSS 2024 Building a Broad Infrastructure for Uniform Meaning Representations COLING 2024 Challenges of Generating Structurally Diverse Graphs NeurIPS 2024 Colour Passing Revisited: Lifted Model Construction with Commutative Factors AAAI 2024 Community detection in the hypergraph stochastic block model and reconstruction on hypertrees COLT 2024 Complete Neural Networks for Complete Euclidean Graphs AAAI 2024 Computing epidemic metrics with edge differential privacy AISTATS 2024 Constrained Layout Generation with Factor Graphs CVPR 2024 Contextual Directed Acyclic Graphs AISTATS 2024 Contrastive General Graph Matching with Adaptive Augmentation Sampling IJCAI 2024 Counting Stars is Constant-Degree Optimal For Detecting Any Planted Subgraph: Extended Abstract COLT 2024 Crescent: Emulating Heterogeneous Production Network at Scale NSDI 2024 DAG-Informed Structure Learning from Multi-Dimensional Point Processes JMLR 2024 Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations CVPR 2024 Detection of $L_∞$ Geometry in Random Geometric Graphs: Suboptimality of Triangles and Cluster Expansion COLT 2024 Differentially Private Decentralized Learning with Random Walks ICML 2024 Differentially Private Graph Diffusion with Applications in Personalized PageRanks NeurIPS 2024 Distributed Manifold Hashing for Image Set Classification and Retrieval AAAI 2024 DNCs Require More Planning Steps ICML 2024 DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024