https://github.com/vt-nlp/form-document-ie
공식 코드RE$^2$: Region-Aware Relation Extraction from Visually Rich Documents
Papers with Code 아카이브
Graph Attention
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wanglijie1999/analog-egat-symextract
공식 코드Graph Attention-Based Symmetry Constraint Extraction for Analog Circuits
https://github.com/water-mirror/NeuLNS
공식 코드https://github.com/wattpad/gatas
공식 코드https://github.com/wendig/gd-caf
공식 코드Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting
https://github.com/wentianzhang-ml/frt-pad
공식 코드FRT-PAD: Effective Presentation Attack Detection Driven by Face Related Task
https://github.com/wenweigu/isolate
공식 코드Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features
https://github.com/wenyu1009/pganet
공식 코드Pixel-wise Graph Attention Networks for Person Re-identification
https://github.com/wenyu1009/rtsrn
공식 코드Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution
https://github.com/wetothemoon/egat_drugsynergy
공식 코드https://github.com/wjk666/disenkgat
공식 코드DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
https://github.com/wtt2022/dataset
공식 코드Weighted Graph Structure Learning with Attention Denoising for Node Classification
https://github.com/wufangr/must
공식 코드MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
https://github.com/wutaiqiang/ger-wsdm2023
공식 코드https://github.com/wxljz/laida
공식 코드https://github.com/x-lance/tie
공식 코드TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages
https://github.com/xavierzw/ogb-geniepath-bs
공식 코드https://github.com/xgswlg/tgls
공식 코드Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis
https://github.com/xiangyu-peng/hex-rl
공식 코드Inherently Explainable Reinforcement Learning in Natural Language
https://github.com/xiaoxiongtao/gates
공식 코드https://github.com/ximingwen/gaprotonet
공식 코드https://github.com/xingbowen714/co-guiding
공식 코드https://github.com/xintian-99/tagat
공식 코드TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion
https://github.com/xjr998/gqe-net
공식 코드GQE-Net: A Graph-based Quality Enhancement Network for Point Cloud Color Attribute
https://github.com/xxhu94/gat-cobo
공식 코드GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection
https://github.com/xzh0u/gbk-gnn
공식 코드GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
https://github.com/yCobanoglu/infinite-width-gnns
공식 코드Infinite Width Graph Neural Networks for Node Regression/ Classification
https://github.com/yamizi/safepowergraph
공식 코드SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Grids
https://github.com/yangmin32/GPMF
공식 코드Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
https://github.com/yangxin666/st-gtrend
공식 코드Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale
https://github.com/yanran-tang/casegnn
공식 코드CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs
https://github.com/yaolab-fantastic/tmm
공식 코드https://github.com/yashen998/gates
공식 코드GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy
https://github.com/yeliu918/KG-BART
공식 코드KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning
https://github.com/yifan-h/gcs_ki
공식 코드What Has Been Enhanced in my Knowledge-Enhanced Language Model?
https://github.com/yihongt/hgarn
공식 코드Activity-aware Human Mobility Prediction with Hierarchical Graph Attention Recurrent Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.