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Graph Attention

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/healthylaife/healthgat

공식 코드

HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks

https://github.com/histograph31/pix2pathology

공식 코드

From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis

https://github.com/hkuds/cl4st

공식 코드

Spatio-Temporal Meta Contrastive Learning

https://github.com/hkuds/stexplainer

공식 코드

Explainable Spatio-Temporal Graph Neural Networks

https://github.com/hkust-knowcomp/pipenet

공식 코드

PipeNet: Question Answering with Semantic Pruning over Knowledge Graphs

https://github.com/hl-hanlin/gkat

공식 코드

From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers

https://github.com/hossboll/patient-gnn

공식 코드

Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph

https://github.com/huangjunjie95/SiGAT

공식 코드

Signed Graph Attention Networks

https://github.com/hulianyuyy/STGAT

공식 코드

Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition

https://github.com/hysonlab/chinese_postman_problem

공식 코드

Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs

https://github.com/hysonlab/multires-np-hard

공식 코드

Symmetry-preserving graph attention network to solve routing problems at multiple resolutions

https://github.com/hyunwookl/testam

공식 코드

TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts

https://github.com/iarai/neurips2022-traffic4cast

공식 코드

Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting

https://github.com/icpc2022-gypsum/gypsum_code

공식 코드

GypSum: Learning Hybrid Representations for Code Summarization

https://github.com/idansc/fga

공식 코드

Factor Graph Attention

https://github.com/ihollywhy/SPAGAN

공식 코드

SPAGAN: Shortest Path Graph Attention Network

https://github.com/ilyaorson/cyberdreamcatcher

공식 코드

An Attentive Graph Agent for Topology-Adaptive Cyber Defence

https://github.com/importpandas/mivs_birgat

공식 코드

A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames

https://github.com/inoue0426/scVGAE

공식 코드

scVGAE: A Novel Approach using ZINB-Based Variational Graph Autoencoder for Single-Cell RNA-Seq Imputation

https://github.com/inoue0426/scVGAE-paper

공식 코드

scVGAE: A Novel Approach using ZINB-Based Variational Graph Autoencoder for Single-Cell RNA-Seq Imputation

https://github.com/insait-institute/grain

공식 코드

GRAIN: Exact Graph Reconstruction from Gradients

https://github.com/isotlaboratory/ml4vrp

공식 코드

On Statistical Learning of Branch and Bound for Vehicle Routing Optimization

https://github.com/jackmiemie/GMEL

공식 코드

Learning Geo-Contextual Embeddings for Commuting Flow Prediction

https://github.com/jamesyifan/DisenHAN

공식 코드

DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation

https://github.com/jerrrynie/cgsn

공식 코드

Capturing Global Structural Information in Long Document Question Answering with Compressive Graph Selector Network

https://github.com/jinec98/dhgcn

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DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning

https://github.com/jjkislele/monoMotionDiff

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Exploring Latent Cross-Channel Embedding for Accurate 3D Human Pose Reconstruction in a Diffusion Framework

https://github.com/joaopedromattos/gnee

공식 코드

Semi-Supervised Graph Attention Networks for Event Representation Learning

https://github.com/jordan7186/gatt

공식 코드

Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint

https://github.com/joy-driven/granp

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GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction

https://github.com/jp-guo/gm-transformer

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GMTR: Graph Matching Transformers

https://github.com/juliechoi12/pprgat

공식 코드

Personalized PageRank Graph Attention Networks

https://github.com/junkangwu/DisenKGAT

공식 코드

DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network

https://github.com/jwwthu/GNN-Communication-Networks

공식 코드

Graph-based Deep Learning for Communication Networks: A Survey

https://github.com/jwwthu/GNN4Traffic

공식 코드

Graph Neural Network for Traffic Forecasting: A Survey

https://github.com/katiebuc/gnnad

공식 코드

Graph Neural Network-Based Anomaly Detection for River Network Systems

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