graph neural network

Graph Random Neural Features for Distance-Preserving Graph Representations ICML 2020 Graph Random Neural Networks for Semi-Supervised Learning on Graphs NeurIPS 2020 Graph Representation Learning via Ladder Gamma Variational Autoencoders AAAI 2020 Graph Representations for Higher-Order Logic and Theorem Proving AAAI 2020 GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification IJCAI 2020 Graph Stochastic Neural Networks for Semi-supervised Learning NeurIPS 2020 Graph Structured Network for Image-Text Matching CVPR 2020 Graph-Structured Referring Expression Reasoning in the Wild CVPR 2020 GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations CVPR 2020 Graph-to-Tree Learning for Solving Math Word Problems ACL 2020 Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem EMNLP 2020 Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing AAAI 2020 Gromov-Wasserstein Factorization Models for Graph Clustering AAAI 2020 GSM: Graph Similarity Model for Multi-Object Tracking IJCAI 2020 GSSNN: Graph Smoothing Splines Neural Networks AAAI 2020 Haar Graph Pooling ICML 2020 Handling Missing Data with Graph Representation Learning NeurIPS 2020 Heterogeneous Graph Neural Networks for Extractive Document Summarization ACL 2020 Heterogeneous Graph Neural Networks to Predict What Happen Next COLING 2020 Heterogeneous Graph Transformer for Graph-to-Sequence Learning ACL 2020 Heterogeneous Network Representation Learning IJCAI 2020 HID: Hierarchical Multiscale Representation Learning for Information Diffusion IJCAI 2020 Hierarchical Graph Attention Network for Visual Relationship Detection CVPR 2020 Hierarchical Graph Network for Multi-hop Question Answering EMNLP 2020 Hierarchical Human Parsing With Typed Part-Relation Reasoning CVPR 2020