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Graph Neural Network

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

https://github.com/liuhua811/lspia

공식 코드

LSPI: Heterogeneous Graph Neural Network Classification Aggregation Algorithm Based on Size Neighbor Path Identification

https://github.com/liujl11git/GNN-LP

공식 코드

On Representing Linear Programs by Graph Neural Networks

https://github.com/liun-online/HeCo

공식 코드

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

https://github.com/liuxz1011/todynet

공식 코드

TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification

https://github.com/liuzh-19/esg

공식 코드

Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting

https://github.com/livable01/livable

공식 코드

LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types

https://github.com/liwk16/StackVAE

공식 코드

StackVAE-G: An efficient and interpretable model for time series anomaly detection

https://github.com/liyifan-123/3dvlap

공식 코드

Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling

https://github.com/liyuechao1998/scgsl

공식 코드

Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data

https://github.com/llnl/graphite

공식 코드

Score dynamics: scaling molecular dynamics with picoseconds timestep via conditional diffusion model

https://github.com/locuslab/cfd-gcn

공식 코드

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

https://github.com/lok-18/ignet

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Learning a Graph Neural Network with Cross Modality Interaction for Image Fusion

https://github.com/loserchen/wsdm_cup_rec_2022

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A Practical Two-stage Ranking Framework for Cross-market Recommendation

https://github.com/louzounlab/pygon

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Planted Dense Subgraphs in Dense Random Graphs Can Be Recovered using Graph-based Machine Learning

https://github.com/lucaswithai/visgraph

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End-to-end video instance segmentation via spatial-temporal graph neural networks

https://github.com/luis-mueller/wl-transformers

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Aligning Transformers with Weisfeiler-Leman

https://github.com/lukasjf/contrastive-gnn-explanation

공식 코드

Contrastive Graph Neural Network Explanation

https://github.com/lumia-group/subtree-attention

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Tailoring Self-Attention for Graph via Rooted Subtrees

https://github.com/lunaproject22/aar

공식 코드

Inferring Past Human Actions in Homes with Abductive Reasoning

https://github.com/lunarlab-gatech/morphsym-hgnn

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Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning

https://github.com/luo-junyu/gala

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GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation

https://github.com/luo-lorry/conformal-load-forecasting

공식 코드

Conformal Load Prediction with Transductive Graph Autoencoders

https://github.com/luost26/equivariant-orientedmp

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Equivariant Point Cloud Analysis via Learning Orientations for Message Passing

https://github.com/luxtu/OCTA-graph

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Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations

https://github.com/lvguofeng/GNN_PPI

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Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction

https://github.com/lxchtan/hetermpc

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HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations

https://github.com/lxd99/tpnet

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Improving Temporal Link Prediction via Temporal Walk Matrix Projection

https://github.com/lydiawunan/lostin

공식 코드

LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models

https://github.com/lyeskhalil/mipgnn

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MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers

https://github.com/lyvykhang/edgehetero-nodeproppred

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Article Classification with Graph Neural Networks and Multigraphs

https://github.com/lyyf2002/asgea

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ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment

https://github.com/m2man/HADA-LAVIS

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HADA: A Graph-based Amalgamation Framework in Image-text Retrieval

https://github.com/m3rg-iitd/rigid_body_dynamics_graph

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Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network

https://github.com/ma-compbio/Hyper-SAGNN

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Hyper-SAGNN: a self-attention based graph neural network for hypergraphs

https://github.com/maastrichtlawtech/gdsr

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Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks

https://github.com/machine-reasoning-ufrgs/spixel-gat

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Superpixel Image Classification with Graph Attention Networks

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