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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud NIPS 2020
Neural Deepfake Detection with Factual Structure of Text EMNLP 2020
Interferometric Graph Transform: a Deep Unsupervised Graph Representation ICML 2020
Contrastive Multi-View Representation Learning on Graphs ICML 2020
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering EMNLP 2020
Graph Random Neural Networks for Semi-Supervised Learning on Graphs NIPS 2020
Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks EMNLP 2020
HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing ACL 2020
Premise Selection in Natural Language Mathematical Texts ACL 2020
Strongly Incremental Constituency Parsing with Graph Neural Networks NIPS 2020
Graph Stochastic Neural Networks for Semi-supervised Learning NIPS 2020
Parameterized Explainer for Graph Neural Network NIPS 2020
Handling Missing Data with Graph Representation Learning NIPS 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting NIPS 2020
Discovering Symbolic Models from Deep Learning with Inductive Biases NIPS 2020
Design Space for Graph Neural Networks NIPS 2020
Random Walk Graph Neural Networks NIPS 2020
Scalable Graph Neural Networks via Bidirectional Propagation NIPS 2020
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks NIPS 2020
Building powerful and equivariant graph neural networks with structural message-passing NIPS 2020
Reliable Graph Neural Networks via Robust Aggregation NIPS 2020
Uncertainty Aware Semi-Supervised Learning on Graph Data NIPS 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data NIPS 2020
Knowledge Graph Alignment with Entity-Pair Embedding EMNLP 2020
Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network AAAI 2020