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Graph Neural Network

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코드

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

https://github.com/sessionrec/mtd

공식 코드

Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation

https://github.com/shakshi12/RumourGNN

공식 코드

Identifying Possible Rumor Spreaders on Twitter: A Weak Supervised Learning Approach

https://github.com/shangzongjiang/magnn

공식 코드

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting

https://github.com/shaopengyang/isg-cd

공식 코드

Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education

https://github.com/sharanmourya/csi-prediction

공식 코드

Spectral Temporal Graph Neural Network for massive MIMO CSI Prediction

https://github.com/sharanmourya/userpairing

공식 코드

Graph Neural Networks-Based User Pairing in Wireless Communication Systems

https://github.com/sharc-lab/dgnn-booster

공식 코드

DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference

https://github.com/sharc-lab/flowgnn

공식 코드

FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference

https://github.com/sharc-lab/gengnn

공식 코드

GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration

https://github.com/sharc-lab/gnn-builder

공식 코드

GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization

https://github.com/sharlinu/marc

공식 코드

Investigating Relational State Abstraction in Collaborative MARL

https://github.com/shatter15/supa

공식 코드

Instant Representation Learning for Recommendation over Large Dynamic Graphs

https://github.com/shchur/overlapping-community-detection

공식 코드

Overlapping Community Detection with Graph Neural Networks

https://github.com/shenxiaocam/dm_gnn

공식 코드

Domain-adaptive Message Passing Graph Neural Network

https://github.com/sherylhyx/digrac_directed_clustering

공식 코드

DIGRAC: Digraph Clustering Based on Flow Imbalance

https://github.com/sherylhyx/msgnn

공식 코드

MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian

https://github.com/sherylhyx/sssnet_signed_clustering

공식 코드

SSSNET: Semi-Supervised Signed Network Clustering

https://github.com/shu56/CEMOEA

공식 코드

Graph Neural Network Encoding for Community Detection in Attribute Networks

https://github.com/shui-dun/multimodal_ad

공식 코드

Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data

https://github.com/shuijing725/crowdnav_sim2real_turtlebot

공식 코드

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph

https://github.com/shuix007/HMGNN

공식 코드

Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties

https://github.com/shuowang-ai/PM2.5-GNN

공식 코드

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

https://github.com/shuzhouyuan/gnnavi

공식 코드

GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network

https://github.com/shyam196/egc

공식 코드

Do We Need Anisotropic Graph Neural Networks?

https://github.com/siddhant-doshi/Dr-COVID

공식 코드

Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug Repurposing

https://github.com/siddhant-doshi/spin

공식 코드

Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification

https://github.com/sigeisler/s2gnn

공식 코드

Spatio-Spectral Graph Neural Networks

https://github.com/silkekaiser/GNNUI

공식 코드

Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume

https://github.com/siml3/ru-net

공식 코드

RU-Net: Regularized Unrolling Network for Scene Graph Generation

https://github.com/simonvino/DCRNN_brain_connectivity

공식 코드

A Graph Neural Network Framework for Causal Inference in Brain Networks

https://github.com/sisinflab/graph-rss-reproducibility

공식 코드

Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis

https://github.com/sisl/DICG

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Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

https://github.com/sjyucnel/brain-and-information-bottleneck

공식 코드

BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck

https://github.com/sklin93/rebraid

공식 코드

Deep Representations for Time-varying Brain Datasets

https://github.com/sldgroup/mobilevigv2

공식 코드

Scaling Graph Convolutions for Mobile Vision

https://github.com/sleepymalc/Travel-the-Same-Path

공식 코드

Travel the Same Path: A Novel TSP Solving Strategy

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.