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graph learning

120 papers

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Co-occurring keywords

graph neural network (3945) semi-supervised learning (2331) multi-view clustering (199) node classification (480) large language model (12755) causal discovery (459) label propagation (185) link prediction (620) sample complexity (1158) graph structure (189)

Papers

Inferring Networks From Random Walk-Based Node Similarities NIPS 2018
A Core-Guided Approach to Learning Optimal Causal Graphs IJCAI 2017
Self-weighted Multiview Clustering with Multiple Graphs IJCAI 2017
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks IJCAI 2017
Cost-Optimal Learning of Causal Graphs ICML 2017
Radar: Residual Analysis for Anomaly Detection in Attributed Networks IJCAI 2017
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models NIPS 2016
Learning Influence Functions from Incomplete Observations NIPS 2016
Learning Latent Variable Models by Pairwise Cluster Comparison: Part II - Algorithm and Evaluation JMLR 2016
ML-MG: Multi-Label Learning With Missing Labels Using a Mixed Graph ICCV 2015
Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation CVPR 2015
Rate-Agnostic (Causal) Structure Learning NIPS 2015
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NIPS 2013
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions ICML 2013
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach NIPS 2012
Learning Networks of Stochastic Differential Equations NIPS 2010
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure JMLR 2010
Label Selection on Graphs NIPS 2009
Learning on Graph with Laplacian Regularization NIPS 2006
Prediction on a Graph with a Perceptron NIPS 2006