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Graph Attention

Papers

Showing 76100 of 1088 papers

TitleStatusHype
Contrastive Viewpoint-aware Shape Learning for Long-term Person Re-IdentificationCode1
Cooperative Policy Learning with Pre-trained Heterogeneous Observation RepresentationsCode1
D2S: Representing sparse descriptors and 3D coordinates for camera relocalizationCode1
AirObject: A Temporally Evolving Graph Embedding for Object IdentificationCode1
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinationsCode1
Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention NetworksCode1
DisenHAN: Disentangled Heterogeneous Graph Attention Network for RecommendationCode1
DialMed: A Dataset for Dialogue-based Medication RecommendationCode1
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive DiagnosisCode1
Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention NetworksCode1
DIGAT: Modeling News Recommendation with Dual-Graph InteractionCode1
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
GRAF: Graph Attention-aware Fusion NetworksCode1
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention NetworkCode1
A Multimodal Graph Neural Network Framework of Cancer Molecular Subtype ClassificationCode1
Graph Attention NetworksCode1
Bi-Level Attention Graph Neural NetworksCode1
BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment AnalysisCode1
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation NetworksCode1
DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question AnsweringCode1
Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment AnalysisCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and ExplanationCode1
Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label GraphsCode1
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