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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/yimengmin/geometricscatteringmaximalclique

공식 코드

Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?

https://github.com/ymlasu/para-atm-collection

공식 코드

Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning

https://github.com/yolomax/umtf

공식 코드

Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling

https://github.com/yongchao-liu/graphtheta

공식 코드

GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy

https://github.com/yongjian16/IDGNN

공식 코드

Efficient and Effective Implicit Dynamic Graph Neural Network

https://github.com/youjibiying/gtot-tuning

공식 코드

Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport

https://github.com/youngfly11/LCMCG-PyTorch

공식 코드

Learning Cross-modal Context Graph for Visual Grounding

https://github.com/youqingxiaozhua/deepternary

공식 코드

SE(3)-Equivariant Ternary Complex Prediction Towards Target Protein Degradation

https://github.com/yousia/lgr_ad

공식 코드

Learning Graph Representation of Agent Diffusers

https://github.com/yshenaw/Globecom2019

공식 코드

A Graph Neural Network Approach for Scalable Wireless Power Control

https://github.com/yuangao-yg/neuralom

공식 코드

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation

https://github.com/yuening-lab/f2gnn

공식 코드

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness

https://github.com/yueyu1030/SumGNN

공식 코드

SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization

https://github.com/yukw777/temporal-discrete-graph-updater

공식 코드

Constructing Temporal Dynamic Knowledge Graphs from Interactive Text-based Games

https://github.com/yul091/graphlogad

공식 코드

GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection

https://github.com/yule-BUAA/LEGNN

공식 코드

Label-Enhanced Graph Neural Network for Semi-supervised Node Classification

https://github.com/yule-BUAA/R-HGNN

공식 코드

Heterogeneous Graph Representation Learning with Relation Awareness

https://github.com/yumenomae/passat_5p625

공식 코드

Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction

https://github.com/yuny220/NAR-Former-V2

공식 코드

NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning

https://github.com/yusanshi/LSEC-GNN

공식 코드

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation

https://github.com/yushundong/AdaGNN

공식 코드

AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter

https://github.com/yusra-alkendi/ed-kogtl

공식 코드

Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers

https://github.com/yutxie/mars

공식 코드

MARS: Markov Molecular Sampling for Multi-objective Drug Discovery

https://github.com/yuweicao-uic/gsau

공식 코드

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems

https://github.com/yuwvandy/dpgnn

공식 코드

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification

https://github.com/yuwvandy/fairvgnn

공식 코드

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

https://github.com/yuyudeep/hcmt

공식 코드

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer

https://github.com/yvsemlani/pcn-jet-tagging

공식 코드

PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph Convolutions

https://github.com/yw109iu/gnn_sparse_learning

공식 코드

Building explainable graph neural network by sparse learning for the drug-protein binding prediction

https://github.com/yxoh/link_steal_pets2024

공식 코드

Link Stealing Attacks Against Inductive Graph Neural Networks

https://github.com/yxzwang/phenomnn

공식 코드

From Hypergraph Energy Functions to Hypergraph Neural Networks

https://github.com/yyysjz1997/SGDP

공식 코드

SGDP: A Stream-Graph Neural Network Based Data Prefetcher

https://github.com/zbf1991/A2GNN

공식 코드

Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation

https://github.com/zcaicaros/l2s

공식 코드

Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling

https://github.com/zcajiayin/L2D

공식 코드

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

https://github.com/zch65458525/l2t

공식 코드

Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Learning

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