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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/johnnyjana730/MVIN

공식 코드

MVIN: Learning Multiview Items for Recommendation

https://github.com/joker3993/rlhgnn

공식 코드

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes

https://github.com/jokofa/neurols

공식 코드

Learning to Control Local Search for Combinatorial Optimization

https://github.com/jonasberghansen/power-flow-balancing-with-decentralized-graph-neural-networks

공식 코드

Power Flow Balancing with Decentralized Graph Neural Networks

https://github.com/jovitalukasik/SVGe

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Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

https://github.com/juhyeonkim95/TaxiSimulatorOnGraph

공식 코드

Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network

https://github.com/jumbo110/eurekha

공식 코드

EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums

https://github.com/jumxglhf/akgnn

공식 코드

Adaptive Kernel Graph Neural Network

https://github.com/jumxglhf/grape

공식 코드

Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering

https://github.com/justarter/gmocat

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GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing

https://github.com/juyebshin/instagram

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InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning

https://github.com/jvasso/graph-rl4adaptive-learning

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Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning

https://github.com/jwu4sml/DEMO-Net

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DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

https://github.com/jwwthu/GNN4Traffic

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Graph Neural Network for Traffic Forecasting: A Survey

https://github.com/jwzhanggy/DifNet

공식 코드

Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification

https://github.com/jwzhanggy/Graph-Bert

공식 코드

Graph-Bert: Only Attention is Needed for Learning Graph Representations

https://github.com/jz48/regexplainer

공식 코드

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks

https://github.com/k-s-b/gnn_wco

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GraphFC: Customs Fraud Detection with Label Scarcity

https://github.com/kaize0409/s-3-cl

공식 코드

Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning

https://github.com/karolismart/agentnet

공식 코드

Agent-based Graph Neural Networks

https://github.com/katiebuc/gnnad

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Graph Neural Network-Based Anomaly Detection for River Network Systems

https://github.com/kdmsit/TGDMat

공식 코드

Periodic Materials Generation using Text-Guided Joint Diffusion Model

https://github.com/kdmsit/crysgnn

공식 코드

CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials

https://github.com/kennynh/mhetgl

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Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning

https://github.com/ketrint/em_showers_segmentation

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Segmentation of EM showers for neutrino experiments with deep graph neural networks

https://github.com/kexinhuang12345/SkipGNN

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SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks

https://github.com/kg-cc/noisehgnn

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NoiseHGNN: Synthesized Similarity Graph-Based Neural Network For Noised Heterogeneous Graph Representation Learning

https://github.com/khushnood/TempNodeEmbed_upload

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TempNodeEmb:Temporal Node Embedding considering temporal edge influence matrix

https://github.com/khy0809/fewshot-egnn

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Edge-labeling Graph Neural Network for Few-shot Learning

https://github.com/kierensharma/fluxgat

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FluxGAT: Integrating Flux Sampling with Graph Neural Networks for Unbiased Gene Essentiality Classification

https://github.com/kkhuang81/UniFilter

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How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing

https://github.com/kkteru/grail

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Inductive Relation Prediction by Subgraph Reasoning

https://github.com/kleincup/MGMN

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Multilevel Graph Matching Networks for Deep Graph Similarity Learning

https://github.com/knowledgedefinednetworking/demo-routenet

공식 코드

RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN

https://github.com/kolejnyy/ANYCQ

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One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs

https://github.com/konsotirop/adamm

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ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach

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