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Graph Neural Networks

4,522 papers

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Papers

Deep Graph Random Process for Relational-Thinking-Based Speech Recognition ICML 2020
Multi-Objective Molecule Generation using Interpretable Substructures ICML 2020
Learning Algebraic Multigrid Using Graph Neural Networks ICML 2020
Graph Homomorphism Convolution ICML 2020
Interferometric Graph Transform: a Deep Unsupervised Graph Representation ICML 2020
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation ICML 2020
Learning to Simulate Complex Physics with Graph Networks ICML 2020
Multi-Agent Routing Value Iteration Network ICML 2020
Haar Graph Pooling ICML 2020
Continuous Graph Neural Networks ICML 2020
When Does Self-Supervision Help Graph Convolutional Networks? ICML 2020
Graph Structure of Neural Networks ICML 2020
Graph Random Neural Features for Distance-Preserving Graph Representations ICML 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case ICML 2020
Robust Graph Representation Learning via Neural Sparsification ICML 2020
GSM: Graph Similarity Model for Multi-Object Tracking IJCAI 2020
Transductive Relation-Propagation Network for Few-shot Learning IJCAI 2020
Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description IJCAI 2020
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension IJCAI 2020
Motif-Preserving Temporal Network Embedding IJCAI 2020
MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product IJCAI 2020
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation IJCAI 2020
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions IJCAI 2020
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification IJCAI 2020
Multi-Channel Graph Neural Networks IJCAI 2020