Graph Neural Networks
5,491 papers
Papers per year
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3
7
4
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13
23
66
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686
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817
962
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395
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Papers
Context-Aware Visual Compatibility Prediction
CVPR 2019
Contextualized Non-Local Neural Networks for Sequence Learning
AAAI 2019
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
ACL 2019
Cross-lingual Structure Transfer for Relation and Event Extraction
EMNLP 2019
Cross-Modal Relationship Inference for Grounding Referring Expressions
CVPR 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks
ICML 2019
Data Representation and Learning With Graph Diffusion-Embedding Networks
CVPR 2019
DeepGCNs: Can GCNs Go As Deep As CNNs?
ICCV 2019
Deep Graphical Feature Learning for the Feature Matching Problem
ICCV 2019
Deep Graph Infomax
ICLR 2019
Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data
AAAI 2019
Dense Node Representation for Geolocation
EMNLP 2019
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
NeurIPS 2019
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
NeurIPS 2019
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
EMNLP 2019
Diffusion Improves Graph Learning
NeurIPS 2019
Diffusion Scattering Transforms on Graphs
ICLR 2019
Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model
IJCAI 2019
Disentangled Graph Convolutional Networks
ICML 2019
Distributed, Egocentric Representations of Graphs for Detecting Critical Structures
ICML 2019
Diverse Generation for Multi-Agent Sports Games
CVPR 2019
Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification
EMNLP 2019
DSINE: Deep Structural Influence Learning via Network Embedding
AAAI 2019
Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology
IJCAI 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
NeurIPS 2019