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Graph Neural Networks

1127 directly classified papers

Papers per year

Papers

N-ary Relation Extraction using Graph-State LSTM EMNLP 2018
Iterative Visual Reasoning Beyond Convolutions CVPR 2018
Anonymous Walk Embeddings ICML 2018
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering ICML 2018
NetGAN: Generating Graphs via Random Walks ICML 2018
Automatic Detection of Cross-Disciplinary Knowledge Associations ACL 2018
Inferring Networks From Random Walk-Based Node Similarities NIPS 2018
GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques EMNLP 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs CVPR 2017
Open Relation Extraction and Grounding IJCNLP 2017
Sequential Graph Matching with Sequential Monte Carlo AISTATS 2017
CANE: Context-Aware Network Embedding for Relation Modeling ACL 2017
Protein Interface Prediction using Graph Convolutional Networks NIPS 2017
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation IJCNLP 2017
Community Extraction in Multilayer Networks with Heterogeneous Community Structure JMLR 2017
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
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
Exploring the Hidden Dimension in Graph Processing OSDI 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 NIPS 2015
Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch AISTATS 2014