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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/crepuscularlight/semanticloopclosure

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LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention Networks

https://github.com/cuitianyu961030/siamhan

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SiamHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention Network

https://github.com/cylin-cmlab/cikm21-mpgat

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Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic

https://github.com/daftstone/traffic4cast

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

https://github.com/declare-lab/dialog-HGAT

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Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

https://github.com/dice-group/I-AID

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I-AID: Identifying Actionable Information from Disaster-related Tweets

https://github.com/dingfangyu/gsina

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GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention

https://github.com/dinuka-1999/braineocare

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Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure Detection

https://github.com/dmis-lab/hats

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HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

https://github.com/dms-net/scatteringGCN

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Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks

https://github.com/doganaykas/multistream-graph-attention-networks

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Multistream Graph Attention Networks for Wind Speed Forecasting

https://github.com/dongkwan-kim/SuperGAT

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How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

https://github.com/dyc941126/gat-pcm

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Pretrained Cost Model for Distributed Constraint Optimization Problems

https://github.com/eaphan/stemd

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Spatial-Temporal Graph Enhanced DETR Towards Multi-Frame 3D Object Detection

https://github.com/echo740/DANSER-WWW-19

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Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

https://github.com/endrikacupaj/LASAGNE

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Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks

https://github.com/eurecom-asp/rawgat-st-antispoofing

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End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection

https://github.com/f-window/dialmed

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DialMed: A Dataset for Dialogue-based Medication Recommendation

https://github.com/fabro66/GAST-Net-3DPoseEstimation

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A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video

https://github.com/favour-nerrise/xgw-gat

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An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment

https://github.com/finint/THGNN

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Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction

https://github.com/fly519/ELGS

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Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations

https://github.com/fuguoji/GSDN

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Understanding Graph Neural Networks from Graph Signal Denoising Perspectives

https://github.com/fulifeng/CGI

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Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method

https://github.com/gayanku/FDGATII

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FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping

https://github.com/gdasoulas/lipschitznorm

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Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks

https://github.com/gengchenmai/Attention_GraphQA

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Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs

https://github.com/geods/region2vec-gat

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GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep Learning

https://github.com/geox-lab/cat

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CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph

https://github.com/gongqilinvu/a3c-rl

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Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement Learning

https://github.com/google/gcnn-survey-paper

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Machine Learning on Graphs: A Model and Comprehensive Taxonomy

https://github.com/graph-learning-ita/airnet-holding-ml

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Graph machine learning for flight delay prediction due to holding manouver

https://github.com/gvogiatzis/trafficgen

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Synthesizing Traffic Datasets using Graph Neural Networks

https://github.com/hans66hsu/gats

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What Makes Graph Neural Networks Miscalibrated?

https://github.com/harrison21/finecausal

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FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment

https://github.com/he-tiantian/cats

공식 코드

Learning Conjoint Attentions for Graph Neural Nets

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.