Topic: graph-neural-networks Goto Github
Some thing interesting about graph-neural-networks
Some thing interesting about graph-neural-networks
graph-neural-networks,Protein Graph Library
User: a-r-j
Home Page: https://graphein.ai/
graph-neural-networks,Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
User: acbull
graph-neural-networks,A distributed graph deep learning framework.
Organization: alibaba
graph-neural-networks,An Industrial Graph Neural Network Framework
Organization: alibaba
graph-neural-networks,🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
Organization: alibaba
Home Page: https://graphscope.io
graph-neural-networks,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
User: amaiya
graph-neural-networks,Python package for graph neural networks in chemistry and biology
Organization: awslabs
graph-neural-networks,A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
User: benedekrozemberczki
graph-neural-networks,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
User: benedekrozemberczki
graph-neural-networks,This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
Organization: bupt-gamma
graph-neural-networks,精选机器学习,NLP,图像识别, 深度学习等人工智能领域学习资料,搜索,推荐,广告系统架构及算法技术资料整理。算法大牛笔记汇总
User: cbamls
Home Page: https://www.6aiq.com
graph-neural-networks,Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
User: chandlerbang
graph-neural-networks,[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
Organization: cripac-dig
graph-neural-networks,Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
User: daiquocnguyen
graph-neural-networks,🟠 A study guide to learn about Graph Neural Networks (GNNs)
Organization: dair-ai
graph-neural-networks,Graph Neural Networks with Keras and Tensorflow 2.
User: danielegrattarola
Home Page: https://graphneural.network
graph-neural-networks,A powerful and flexible machine learning platform for drug discovery
Organization: deepgraphlearning
Home Page: https://torchdrug.ai/
graph-neural-networks,Python package built to ease deep learning on graph, on top of existing DL frameworks.
Organization: dmlc
Home Page: http://dgl.ai
graph-neural-networks,A pytorch adversarial library for attack and defense methods on images and graphs
User: dse-msu
graph-neural-networks,A Graph Neural Network Library in Jax
Organization: google-deepmind
Home Page: https://jraph.readthedocs.io/en/latest/
graph-neural-networks,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
Organization: graph4ai
graph-neural-networks,Repository for benchmarking graph neural networks
Organization: graphdeeplearning
Home Page: https://arxiv.org/abs/2003.00982
graph-neural-networks,Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
Organization: graphdeeplearning
Home Page: https://arxiv.org/abs/2012.09699
graph-neural-networks,Programmable CUDA/C++ GPU Graph Analytics
Organization: gunrock
Home Page: https://gunrock.github.io/gunrock/
graph-neural-networks,resources for graph convolutional networks (图卷积神经网络相关资源)
User: jiakui
graph-neural-networks,Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
User: kmario23
Home Page: https://deep-learning-drizzle.github.io
graph-neural-networks,Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
User: lightaime
graph-neural-networks,Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
User: lirongwu
graph-neural-networks,SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Organization: magicleap
graph-neural-networks,Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
User: mdeff
Home Page: https://arxiv.org/abs/1606.09375
graph-neural-networks,links to conference publications in graph-based deep learning
User: naganandy
graph-neural-networks,Graph Neural Network Library for PyTorch
Organization: pyg-team
Home Page: https://pyg.org
graph-neural-networks,A Python Library for Graph Outlier Detection (Anomaly Detection)
Organization: pygod-team
Home Page: https://pygod.org
graph-neural-networks,A unified, comprehensive and efficient recommendation library
Organization: rucaibox
Home Page: https://recbole.io/
graph-neural-networks,PyTorch Extension Library of Optimized Graph Cluster Algorithms
User: rusty1s
graph-neural-networks,A Deep Graph-based Toolbox for Fraud Detection
Organization: safe-graph
graph-neural-networks,A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Organization: safe-graph
graph-neural-networks,Benchmark datasets, data loaders, and evaluators for graph machine learning
Organization: snap-stanford
Home Page: https://ogb.stanford.edu
graph-neural-networks,Strategies for Pre-training Graph Neural Networks
Organization: snap-stanford
graph-neural-networks,StellarGraph - Machine Learning on Graphs
Organization: stellargraph
Home Page: https://stellargraph.readthedocs.io/
graph-neural-networks,CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Organization: thudm
Home Page: https://cogdl.ai
graph-neural-networks,An autoML framework & toolkit for machine learning on graphs.
Organization: thumnlab
Home Page: http://mn.cs.tsinghua.edu.cn/AutoGL/
graph-neural-networks,An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Organization: tsinghua-fib-lab
graph-neural-networks,Papers about graph transformers.
User: wehos
graph-neural-networks,How Powerful are Graph Neural Networks?
User: weihua916
graph-neural-networks,KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
User: xiangwang1223
graph-neural-networks,😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
User: yassouali
graph-neural-networks,Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
User: youngfish42
Home Page: https://youngfish42.github.io/Awesome-FL
graph-neural-networks,Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
User: yueliu1999
graph-neural-networks,Anomaly detection related books, papers, videos, and toolboxes
User: yzhao062
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