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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/VITA-Group/VGAI

공식 코드

Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks

https://github.com/VachelHU/ESGRN

공식 코드

Time-Series Event Prediction with Evolutionary State Graph

https://github.com/VachelHU/EvoNet

공식 코드

Time-Series Event Prediction with Evolutionary State Graph

https://github.com/VishnuDuttSharma/deep-multirobot-task

공식 코드

Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection

https://github.com/WangXuhongCN/OCGNN

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One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks

https://github.com/WeihengZ/Explainable-Graph-Autoformer

공식 코드

Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting

https://github.com/WeijingShi/Point-GNN

공식 코드

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud

https://github.com/WenjieDu/PyPOTS

공식 코드

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

https://github.com/WuDan0399/InkStream

공식 코드

InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update

https://github.com/XL2248/HGNN

공식 코드

Emotional Conversation Generation with Heterogeneous Graph Neural Network

https://github.com/Xiangyi1996/PPNet-PyTorch

공식 코드

Part-aware Prototype Network for Few-shot Semantic Segmentation

https://github.com/XiaoxinHe/TAPE

공식 코드

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

https://github.com/XieResearchGroup/Physics-aware-Multiplex-GNN

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Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for 3D Small Molecules and Macromolecule Complexes

https://github.com/Xovee/hdgnn

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A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact

https://github.com/Xuanmeng-Zhang/gnn-re-ranking

공식 코드

Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

https://github.com/YangLiangwei/game-recommendation

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Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network

https://github.com/Yanzongzi/GNN-For-localization

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Graph Neural Network for Large-Scale Network Localization

https://github.com/YingtongDou/CARE-GNN

공식 코드

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

https://github.com/YuWVandy/TDGNN

공식 코드

Tree Decomposed Graph Neural Network

https://github.com/Yuma-Ichikawa/CRA4CO

공식 코드

Controlling Continuous Relaxation for Combinatorial Optimization

https://github.com/YuxiangRen/Label-Contrastive-Coding-based-Graph-Neural-Network-for-Graph-Classification-

공식 코드

Label Contrastive Coding based Graph Neural Network for Graph Classification

https://github.com/ZM7/DGSR

공식 코드

Dynamic Graph Neural Networks for Sequential Recommendation

https://github.com/ZeXingZ/DIG-Mol

공식 코드

Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction

https://github.com/ZhenhHuang/MSG

공식 코드

Spiking Graph Neural Network on Riemannian Manifolds

https://github.com/ZhenyueQin/Angular-Skeleton-Encoding

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Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognition

https://github.com/Zhiyu014/GNN-UDS

공식 코드

Graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networks

https://github.com/ZhuYun97/ENGINE

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Efficient Tuning and Inference for Large Language Models on Textual Graphs

https://github.com/ZihanChen1995/ChatGPT-GNN-StockPredict

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ChatGPT Informed Graph Neural Network for Stock Movement Prediction

https://github.com/ZijieH/LG-ODE

공식 코드

Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations

https://github.com/a791702141/SSG

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Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation

https://github.com/aaltovision/dgc-gnn-release

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DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching

https://github.com/aaronzo/STAGE

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STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs

https://github.com/abbahaddou/CGSO

공식 코드

Centrality Graph Shift Operators for Graph Neural Networks

https://github.com/abbahaddou/DGOW

공식 코드

Graph Neural Networks on Discriminative Graphs of Words

https://github.com/abhaysobhanan/gancp

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Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems

https://github.com/abheesht17/super-pixels

공식 코드

Superpixel-based Knowledge Infusion in Deep Neural Networks for Image Classification

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