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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/relationalml/gate

공식 코드

GATE: How to Keep Out Intrusive Neighbors

https://github.com/renj-xu/negsc

공식 코드

Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network

https://github.com/ringbdstack/stamimupter

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STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation

https://github.com/roshnigiyer/ba-gnn

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Bi-Level Attention Graph Neural Networks

https://github.com/roshnigiyer/br-gcn

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Hierarchical Attention Models for Multi-Relational Graphs

https://github.com/scc-usc/peer-disambiguation

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Peer Disambiguation in Self-Reported Surveys using Graph Attention Networks

https://github.com/selgroup/dese

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Unsupervised Graph Clustering with Deep Structural Entropy

https://github.com/shenwzh3/RGAT-ABSA

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Relational Graph Attention Network for Aspect-based Sentiment Analysis

https://github.com/shravan-18/SAG-ViT

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SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers

https://github.com/sldgroup/mobilevig

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MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications

https://github.com/sldgroup/mobilevigv2

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Scaling Graph Convolutions for Mobile Vision

https://github.com/snap-stanford/relgnn

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RelGNN: Composite Message Passing for Relational Deep Learning

https://github.com/sofiperez91/lase

공식 코드

LASE: Learned Adjacency Spectral Embeddings

https://github.com/songyyyy/kdd22-oodgat

공식 코드

Learning on Graphs with Out-of-Distribution Nodes

https://github.com/stevenzhb/cadge

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CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation

https://github.com/suprityoung/faima

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FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis

https://github.com/sutaoyu/LoginMEA

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LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment

https://github.com/suvajit-patra/sl-hwgat

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Hierarchical Windowed Graph Attention Network and a Large Scale Dataset for Isolated Indian Sign Language Recognition

https://github.com/swsamleo/mlstgcn

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Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention

https://github.com/sydney-machine-learning/multicriteria-recommendersys

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Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems

https://github.com/syleeheal/aero-gnn

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Towards Deep Attention in Graph Neural Networks: Problems and Remedies

https://github.com/syxu828/Crosslingula-KG-Matching

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Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

https://github.com/szhang42/alignment_attention

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Alignment Attention by Matching Key and Query Distributions

https://github.com/tangg555/sabart

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Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation

https://github.com/tech-srl/how_attentive_are_gats

공식 코드

How Attentive are Graph Attention Networks?

https://github.com/thunlp/GNNPapers

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Graph Neural Networks: A Review of Methods and Applications

https://github.com/thunlp/KernelGAT

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Fine-grained Fact Verification with Kernel Graph Attention Network

https://github.com/tian14267/ls_mbert

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Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual Transfer

https://github.com/tongnie/gnn4flow

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Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs

https://github.com/trashtian/mulaaip

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Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction

https://github.com/ugoorji12/Load-Forecasting-using-GAT-LSTM

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Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features

https://github.com/usccolumbia/deeperGATGNN

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Scalable deeper graph neural networks for high-performance materials property prediction

https://github.com/vandijklab/scGAT

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Disease State Prediction From Single-Cell Data Using Graph Attention Networks

https://github.com/veason-silverbullet/digat

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DIGAT: Modeling News Recommendation with Dual-Graph Interaction

https://github.com/vikasverma1077/GraphMix

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GraphMix: Improved Training of GNNs for Semi-Supervised Learning

https://github.com/vkhoi/cora_cvpr24

공식 코드

Composing Object Relations and Attributes for Image-Text Matching

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