adjacency matrix

Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations ICLR 2025 Continuous Bayesian Model Selection for Multivariate Causal Discovery ICML 2025 Graph Minimum Factorization Distance and Its Application to Large-Scale Graph Data Clustering ICML 2025 A Simple and Scalable Representation for Graph Generation ICLR 2024 Bridging OOD Detection and Generalization: A Graph-Theoretic View NeurIPS 2024 FUGAL: Feature-fortified Unrestricted Graph Alignment NeurIPS 2024 LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits ICML 2024 Learning Representations for Hierarchies with Minimal Support NeurIPS 2024 Low-degree phase transitions for detecting a planted clique in sublinear time COLT 2024 Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method JMLR 2024 Centerless Multi-View K-means Based on the Adjacency Matrix AAAI 2023 Graph Alignment Kernels using Weisfeiler and Leman Hierarchies AISTATS 2023 All of the Fairness for Edge Prediction with Optimal Transport AISTATS 2021 Coupled Layer-wise Graph Convolution for Transportation Demand Prediction AAAI 2021 DAGs with No Curl: An Efficient DAG Structure Learning Approach ICML 2021 Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace JMLR 2021 Iterative Connecting Probability Estimation for Networks NeurIPS 2021 Keyword Extraction Using Unsupervised Learning on the Document’s Adjacency Matrix NAACL 2021 Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction NeurIPS 2021 Learning Graph Structure With A Finite-State Automaton Layer NeurIPS 2020 Spectral Embedding of Regularized Block Models ICLR 2020 Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game AAAI 2019 Improved spectral community detection in large heterogeneous networks JMLR 2018 Sketching Method for Large Scale Combinatorial Inference NeurIPS 2018 Statistical Inference on Random Dot Product Graphs: a Survey JMLR 2018