Topic: gnn Goto Github
Some thing interesting about gnn
Some thing interesting about gnn
gnn,An Industrial Graph Neural Network Framework
Organization: alibaba
gnn,🍇 A C++ library for parallel graph processing (GRAPE) 🍇
Organization: alibaba
Home Page: https://alibaba.github.io/libgrape-lite/
gnn,SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks.
User: andresprados
Home Page: https://bmvc2022.mpi-inf.mpg.de/155/
gnn,An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.
Organization: awslabs
Home Page: https://awslabs.github.io/realtime-fraud-detection-with-gnn-on-dgl/
gnn,All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
User: azminewasi
gnn,A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
User: basiralab
gnn,A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
User: benedekrozemberczki
gnn,A repository of pretty cool datasets that I collected for network science and machine learning research.
User: benedekrozemberczki
gnn,An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
User: benedekrozemberczki
Home Page: https://karateclub.readthedocs.io/
gnn,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
User: benedekrozemberczki
gnn,A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
User: benedekrozemberczki
gnn,A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
User: benedekrozemberczki
gnn,A reading list for deep graph learning acceleration.
Organization: buaa-ci-lab
gnn,Code and resources on scalable and efficient Graph Neural Networks
User: chaitjo
Home Page: https://www.chaitjo.com/post/efficient-gnns/
gnn,A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)
User: codekgu
gnn,图深度学习(葡萄书),在线阅读地址: https://datawhalechina.github.io/grape-book
Organization: datawhalechina
gnn,《深入浅出图神经网络:GNN原理解析》配套代码
User: fighterlyl
gnn,PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
User: gasteigerjo
Home Page: https://www.daml.in.tum.de/ppnp
gnn,Programmable CUDA/C++ GPU Graph Analytics
Organization: gunrock
Home Page: https://gunrock.github.io/gunrock/
gnn,Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
User: hannesstark
gnn,A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Organization: huawei-noah
Home Page: https://arxiv.org/abs/1811.11103
gnn,Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
User: huweibo
gnn,Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]
User: ianycxu
gnn,[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
User: jw9730
gnn,1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
User: kyzhouhzau
gnn,Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”
User: liang-zx
gnn,PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (GMN, ICML 2019).
User: lin-yijie
gnn,A PyTorch Graph Neural Network Library
Organization: microsoft
gnn,PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
Organization: ml4its
gnn,Make GNN easy to start with
Organization: mobiletelesystems
gnn,Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
Organization: nyumedml
gnn,Graph Neural Network based Social Recommendation Model. SIGIR2019.
User: peijiesun
gnn,TPAMI 2022
User: pengboxiangshang
gnn,DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Organization: sciml
Home Page: https://docs.sciml.ai/NeuralOperators/stable/
gnn,A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
User: senya-ashukha
gnn,Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
User: shenweichen
gnn,PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
User: sherylhyx
Home Page: https://pytorch-geometric-signed-directed.readthedocs.io/en/latest/
gnn,TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Organization: tensorflow
gnn,Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
Organization: thudm
gnn,Must-read papers on graph neural networks (GNN)
Organization: thunlp
gnn,tsl: a PyTorch library for processing spatiotemporal data.
Organization: torchspatiotemporal
Home Page: https://torch-spatiotemporal.readthedocs.io/
gnn,An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Organization: tsinghua-fib-lab
gnn,GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)
Organization: tum-daml
Home Page: https://www.daml.in.tum.de/gemnet
gnn,Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
User: vijaydwivedi75
Home Page: http://arxiv.org/abs/2110.07875
gnn,Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers
User: xcfcode
Home Page: http://xcfeng.net/notes.html
gnn,Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
Organization: xmindflow
gnn,30 Semi-Supervised Learning Algorithms
User: ygzwqzd
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