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Graph Neural Networks

1,141 papers

Papers per year

3
2
134
173
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Papers

Open Relation Extraction and Grounding IJCNLP 2017
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation IJCNLP 2017
Community Extraction in Multilayer Networks with Heterogeneous Community Structure JMLR 2017
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering NIPS 2016
On Valid Optimal Assignment Kernels and Applications to Graph Classification NIPS 2016
Diffusion-Convolutional Neural Networks NIPS 2016
GAKE: Graph Aware Knowledge Embedding COLING 2016
Learning Convolutional Neural Networks for Graphs ICML 2016
Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm JMLR 2016
Exploring the Hidden Dimension in Graph Processing OSDI 2016
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction NIPS 2015
Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation CVPR 2015
Unsupervised Deep Haar Scattering on Graphs NIPS 2014
Sparse Polynomial Learning and Graph Sketching NIPS 2014
Learning on graphs using Orthonormal Representation is Statistically Consistent NIPS 2014
Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch AISTATS 2014
Spectral Bandits for Smooth Graph Functions ICML 2014
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NIPS 2013
Wavelets on Graphs via Deep Learning NIPS 2013
Analyzing the Harmonic Structure in Graph-Based Learning NIPS 2013
Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NIPS 2013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NIPS 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