Topic: gnn Goto Github

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alibaba / graph-learn
gnn,An Industrial Graph Neural Network Framework
Organization: alibaba
gnn aligraph graphlearn tensorflow pytorch graph graph-neural-networks gnn-framework dynamic-graph training dynamic-graph-service gnn-inference

alibaba / libgrape-lite
gnn,🍇 A C++ library for parallel graph processing (GRAPE) 🍇
Organization: alibaba
Home Page: https://alibaba.github.io/libgrape-lite/
graph cxx library parallel mpi gnn graph-theory graph-algorithms header-only grape

andreagemelli / doc2graph
gnn,Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.
User: andreagemelli
Home Page: https://link.springer.com/chapter/10.1007/978-3-031-25069-9_22
deep-learning document-understanding geometric-deep-learning gnn key-information-extraction layout-analysis nlp table-detection pytorch

andresprados / spiga
gnn,SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks.
User: andresprados
Home Page: https://bmvc2022.mpi-inf.mpg.de/155/
bmvc2022 face-alignment gnn headpose-estimation cnn head-pose-estimation pytorch wflw 300w cofw

awslabs / realtime-fraud-detection-with-gnn-on-dgl
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/
aws-cdk gnn dgl fraud-detection aws sagemaker neptune graph-database documentdb appsync

baeseulki / nl2lf
gnn,The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。
User: baeseulki
nlidb nl2sql semantic-parsing table-qa spider wikisql gnn sql-generation nl2code nl2lf

basiralab / gnns-in-network-neuroscience
gnn,A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
User: basiralab
graph-neural-network graph-prediction biomarker network-neuroscience brain-connectivity brain-disorders geometric-deep-learning gans predictive-intelligence graph-integration

benedekrozemberczki / capsgnn
gnn,A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
User: benedekrozemberczki
capsgnn capsule-network capsule-neural-networks convolution pytorch research tensorflow machine-learning deep-learning gnn

benedekrozemberczki / datasets
gnn,A repository of pretty cool datasets that I collected for network science and machine learning research.
User: benedekrozemberczki
network-science network-analysis data-science machine-learning gcn graph-embedding network-embedding community-detection link-prediction node-classification

benedekrozemberczki / edmot
gnn,An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
User: benedekrozemberczki
Home Page: https://karateclub.readthedocs.io/
louvain community-detection graph-clustering networkx graph-partitioning gemsec deepwalk graph2vec deep-learning motif

benedekrozemberczki / pytorch_geometric_temporal
gnn,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
User: benedekrozemberczki
pytorch graph-neural-networks temporal-networks temporal-graphs gcn graph-convolutional-networks deep-learning network-science temporal-data node-embedding

benedekrozemberczki / seal-ci
gnn,A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
User: benedekrozemberczki
gcn graph-convolutional-networks active-learning active-learning-module deep-learning pytorch tensorflow graph-classification node-classification deep-learning-algorithms

benedekrozemberczki / simgnn
gnn,A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
User: benedekrozemberczki
graph-edit-distance ged graph-similarity gcn graph-convolution tensor-network tensorflow pytorch neural-network deep-learning

buaa-ci-lab / literatures-on-gnn-acceleration
gnn,A reading list for deep graph learning acceleration.
User: buaa-ci-lab
graph-neural-networks graph-convolutional-networks deep-learning gnn gcn acceleration graph reading-list paper-list accelerator

chaitjo / efficient-gnns
gnn,Code and resources on scalable and efficient Graph Neural Networks
User: chaitjo
Home Page: https://www.chaitjo.com/post/efficient-gnns/
graph-neural-networks graph-representation-learning graph-convolutional-networks gnn efficient-deep-learning efficient-neural-networks scalable-deep-learning contrastive-learning knowledge-distillation

codekgu / text-gcn
gnn,A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)
User: codekgu
graph-convolutional-networks text-classification text-gcn gcn aaai gnn pytorch twitter-dataset deep-learning machine-learning

datawhalechina / grape-book
gnn,图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book
Organization: datawhalechina
deep-learning gnn graph graph-neural-networks machine-learning tutorial

fighterlyl / graphneuralnetwork
gnn,《深入浅出图神经网络：GNN原理解析》配套代码
User: fighterlyl
gcn gnn graph-neural-network

gasteigerjo / ppnp
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
gcn tensorflow pytorch machine-learning deep-learning pagerank graph-algorithms gnn graph-classification graph-neural-networks

gunrock / gunrock
gnn,Programmable CUDA/C++ GPU Graph Analytics
Organization: gunrock
Home Page: https://gunrock.github.io/gunrock/
gunrock cuda graph-processing graph-analytics gpu graph-primitives graph-engine hpc cxx algorithms

hannesstark / 3dinfomax
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
graph-representation-learning self-supervised-learning graph molecules 3d pytorch-geometric dgl-graph gnn graph-neural-networks

hazdzz / stgcn
gnn,The PyTorch implementation of STGCN.
User: hazdzz
pytorch gcn tcn road-traffic-prediction gnn

huawei-noah / bgcn
gnn,A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Organization: huawei-noah
Home Page: https://arxiv.org/abs/1811.11103
graph-convolutional-network graph-learning graph-neural-networks gcn graph-convolutional-neural-networks bayesian-neural-networks bayesian-graph-neural-networks gnn

huweibo / awesome-federated-learning-on-graph-and-gnn-papers
gnn,Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
User: huweibo
federated-learning graph-neural-network knowledge-graph gnn graph papers

ianycxu / gcn-with-bert
gnn,Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]
User: ianycxu
nlp graph-convolutional-networks gcn bert bert-model pytorch coreference-resolution gnn graph-neural-networks

joeat1 / gnn_note
gnn,图神经网络整理
User: joeat1
gnn graph-neural-network survey

jw9730 / tokengt
gnn,[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
User: jw9730
equivariance gnn graph hypergraph pytorch self-attention transformer

kyzhouhzau / nlpgnn
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
tensorflow2 bert gpt2 albert bert-ner bert-cls textcnn bilstm-attention albert-ner tf2

liang-zx / vectornet
gnn,Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”
User: liang-zx
gnn multimodality trajectory-prediction

lin-yijie / graph-matching-networks
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 deep-learning graph-neural-networks pytorch

microsoft / ptgnn
gnn,A PyTorch Graph Neural Network Library
Organization: microsoft
graph-neural-networks deep-learning pytorch geometric-deep-learning gnn

ml4its / mtad-gat-pytorch
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
attention anomaly-detection gnn 2021 graph-neural-networks graph-attention-networks pytorch deep-learning time-series mtad-gat

mobiletelesystems / coolgraph
gnn,Make GNN easy to start with
Organization: mobiletelesystems
gnn graphs embbedings graph graph-algorithms graph-neural-networks graphconv graphembedding mlflow optuna

nyumedml / gnn_for_ehr
gnn,Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
Organization: nyumedml
disease-prediction alzheimer-disease-prediction graph-neural-networks deep-learning ehr pytorch electronic-health-records gnn

peijiesun / diffnet
gnn,Graph Neural Network based Social Recommendation Model. SIGIR2019.
User: peijiesun
gcn gnn graph-neural-network graph-convolutional-network neural-graph recommendation social-recommendation sigir2019 neural-network neural-network-graph

pengboxiangshang / torchsketch
gnn,TPAMI 2022
User: pengboxiangshang
sketch deep-learning pytorch cnn rnn gnn tcn

sciml / neuraloperators.jl
gnn,DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Organization: sciml
Home Page: https://docs.sciml.ai/NeuralOperators/stable/
julia fourier-transform gnn pde operator deep-learning partial-differential-equations automatic-differentiation deeponet differential-equations

senya-ashukha / simple-equivariant-gnn
gnn,A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
User: senya-ashukha
deep-learning deep-neural-networks egnn equivariance gnn graph-neural-networks homo molecules neural-networks pytorch qm9

shenweichen / graphneuralnetwork
gnn,Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
User: shenweichen
gat gcn gnn graph-attention graphsage

sherylhyx / pytorch_geometric_signed_directed
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 graph-neural-netowrks signed-networks directed-networks pytorch-geometric pytorch python machine-learning deep-learning networks

shuowang-ai / geniepath-pytorch
gnn,This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
User: shuowang-ai
Home Page: https://github.com/pyg-team/pytorch_geometric/blob/master/examples/geniepath.py
graph-network graph-neural-network gnn convolutional-networks gcn gat pyg

tensorflow / gnn
gnn,TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Organization: tensorflow
tensorflow gnn deep-learning machine-learning

thudm / grand
gnn,Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
Organization: thudm
graphs gnn semi-supervised-learning neurips-2020 data-augmentation graph-neural-networks

thunlp / gnnpapers
gnn,Must-read papers on graph neural networks (GNN)
Organization: thunlp
paper-list gnn

torchspatiotemporal / tsl
gnn,tsl: a PyTorch library for processing spatiotemporal data.
Organization: torchspatiotemporal
Home Page: https://torch-spatiotemporal.readthedocs.io/
deep-learning gnn graph-neural-networks pytorch spatio-temporal spatio-temporal-analysis spatio-temporal-data spatio-temporal-graph spatio-temporal-prediction spatiotemporal

tsinghua-fib-lab / gnn-recommender-systems
gnn,An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Organization: tsinghua-fib-lab
gnn graph-neural-networks gcn graph-convolutional-networks recommendation-system recommendation recommendation-algorithms recommender-system graph-representation-learning information-retrieval

tum-daml / gemnet_pytorch
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
paper gnn pytorch graph-neural-networks

vijaydwivedi75 / gnn-lspe
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
graph-neural-networks transformers graph-transformer positional-encoding graph-deep-learning transformer-networks attention graphs molecules gnn-lspe

xcfcode / what-i-have-read
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
nlp summarization acl emnlp aaai naacl slides presentation gnn knowledge-distillation pretrain gan non-autoregressive generation graph-neural-networks notes presentations data-augmentation meta-learning conversation

ygzwqzd / lamda-ssl
gnn,30 Semi-Supervised Learning Algorithms
User: ygzwqzd
automl computer-vision deep-learning generative-model gnn graph inductive-learning machine-learning natural-language-processing neural-network python pytorch scikit-learn self-supervised-learning semi-supervised-learning support-vector-machine svm tabular-data toolkit transductive-learning