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Graph Attention

Papers

Showing 76100 of 1088 papers

TitleStatusHype
Contrastive Viewpoint-aware Shape Learning for Long-term Person Re-IdentificationCode1
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention NetworksCode1
Cooperative Policy Learning with Pre-trained Heterogeneous Observation RepresentationsCode1
AirObject: A Temporally Evolving Graph Embedding for Object IdentificationCode1
Causal Attention for Interpretable and Generalizable Graph ClassificationCode1
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinationsCode1
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive DiagnosisCode1
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud LearningCode1
Disease State Prediction From Single-Cell Data Using Graph Attention NetworksCode1
DialMed: A Dataset for Dialogue-based Medication RecommendationCode1
Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention NetworksCode1
A Message Passing Perspective on Learning Dynamics of Contrastive LearningCode1
Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical SpacesCode1
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention NetworkCode1
DisenHAN: Disentangled Heterogeneous Graph Attention Network for RecommendationCode1
A Multimodal Graph Neural Network Framework of Cancer Molecular Subtype ClassificationCode1
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading ComprehensionCode1
Bi-Level Attention Graph Neural NetworksCode1
BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment AnalysisCode1
DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question AnsweringCode1
Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair ExtractionCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation NetworksCode1
Dynamic Relation-Attentive Graph Neural Networks for Fraud DetectionCode1
Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label GraphsCode1
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