Graph Neural Networks

Exploring the Hidden Dimension in Graph Processing OSDI 2016 GAKE: Graph Aware Knowledge Embedding COLING 2016 Interaction Networks for Learning about Objects, Relations and Physics NeurIPS 2016 Learning Convolutional Neural Networks for Graphs ICML 2016 On Valid Optimal Assignment Kernels and Applications to Graph Classification NeurIPS 2016 Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation CVPR 2015 Spectral Norm Regularization of Orthonormal Representations for Graph Transduction NeurIPS 2015 Learning on graphs using Orthonormal Representation is Statistically Consistent NeurIPS 2014 Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch AISTATS 2014 Sparse Polynomial Learning and Graph Sketching NeurIPS 2014 Spectral Bandits for Smooth Graph Functions ICML 2014 Unsupervised Deep Haar Scattering on Graphs NeurIPS 2014 Analyzing the Harmonic Structure in Graph-Based Learning NeurIPS 2013 A Tensor Spectral Approach to Learning Mixed Membership Community Models COLT 2013 Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based Manifolds CVPR 2013 Learning Graphs to Match ICCV 2013 Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NeurIPS 2013 Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NeurIPS 2013 The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NeurIPS 2013 Wavelets on Graphs via Deep Learning NeurIPS 2013 A Correlation Clustering Approach to Link Classification in Signed Networks COLT 2012 A Linear Time Active Learning Algorithm for Link Classification NeurIPS 2012 Fusion with Diffusion for Robust Visual Tracking NeurIPS 2012 Learning Networks of Heterogeneous Influence NeurIPS 2012 On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NeurIPS 2012