gcn

There are 14 repositories under gcn topic.

Mikoto10032 / DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
deeplearning cnn rnn gan machine-learning tensorflow mxnet deep-learning machinelearning pytorch gcn kaggle
Language:Jupyter Notebook 7719
alibaba / euler
A distributed graph deep learning framework.
graph graph-learning network-embedding deep-learning graph-convolutional-networks graph-neural-networks graphsage random-walk node2vec graph-embedding gcn ggnn
Language:C++ 2763
km1994 / nlp_paper_study
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
bert relation-extraction entity-recognition attention gcn
Language:C++ 2400
stellargraph / stellargraph
StellarGraph - Machine Learning on Graphs
data-science deep-learning gcn geometric-deep-learning graph-analysis graph-convolutional-networks graph-data graph-machine-learning graph-neural-networks graphs heterogeneous-networks interpretability link-prediction machine-learning machine-learning-algorithms networkx python saliency-map stellargraph-library
Language:Python 2392
GPCS4
Inori / GPCS4
A work-in-progress PlayStation 4 emulator.
emulator gcn graphics ps4 vulkan
Language:C++ 1623
karateclub
benedekrozemberczki / karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
community-detection graph-clustering deepwalk networkx louvain network-science machine-learning unsupervised-learning gcn node2vec graph2vec supervised-learning sklearn networkx-graph scikit label-propagation graph-embedding network-embedding node-embedding 2vec
Language:Python 1621
pytorch_geometric_temporal
benedekrozemberczki / pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
pytorch graph-neural-networks temporal-networks temporal-graphs gcn graph-convolutional-networks deep-learning network-science temporal-data node-embedding network-embedding graph-embedding spatial-data spatial-analysis spatio-temporal-data spatio-temporal-analysis gnn graph-convolution spatiotemporal
Language:Python 1567
FighterLYL / GraphNeuralNetwork
《深入浅出图神经网络：GNN原理解析》配套代码
gnn gcn graph-neural-network
Language:Jupyter Notebook 1197
wubinzzu / NeuRec
Next RecSys Library
adversarial-learning autoencoder collaborative-filtering convolutional-neural-networks deep-learning gcn neural-networks recommender-systems sequential social-network tensorflow variational-autoencoder
Language:Python 934
Jiakui / awesome-gcn
resources for graph convolutional networks （图卷积神经网络相关资源）
gcn nlp graph-neural-networks cv graph-attention-networks graph-attention
719
guanfuchen / semseg
常用的语义分割架构结构综述以及代码复现
semantic-segmentation deep-learning pytorch fcn segnet erfnet enet drn lrn label-refinement-network image-segmentation segmentation-networks segmentation-models deeplab bisenet frrn shufflenet future-semantic-segmentation gcn
Language:Python 706
ClusterGCN
benedekrozemberczki / ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
gcn graph-convolution graph-neural-networks graph-convolutional-networks deepwalk node2vec pytorch graphsage graph2vec musae gemsec diff2vec community-detection clustering graph-clustering node-classification neural-network deep-learning metis louvain
Language:Python 660
yl-1993 / learn-to-cluster
Learning to Cluster Faces (CVPR 2019, CVPR 2020)
face-clustering face-recognition pytorch gcn cvpr2019 cvpr2020
Language:Python 597
shenweichen / GraphNeuralNetwork
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
gcn graphsage gnn gat graph-attention
Language:Python 562
SimGNN
benedekrozemberczki / SimGNN
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
graph-edit-distance ged graph-similarity gcn graph-convolution tensor-network tensorflow pytorch neural-network deep-learning machine-learning graph-attention attention-mechanism graph-classification sklearn graph-embedding network-embedding wsdm simgnn gnn
Language:Python 483
GraphWaveletNeuralNetwork
benedekrozemberczki / GraphWaveletNeuralNetwork
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
gcn graph-convolutional-network graph-convolution machine-learning deep-learning iclr sklearn pytorch deepwalk node2vec graphsage convolutional-neural-networks graph-representation research tensorflow graph-neural-networks gwnn transformer gpt2 gpt3
Language:Python 461
datasets
benedekrozemberczki / datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
network-science network-analysis data-science machine-learning gcn graph-embedding network-embedding community-detection link-prediction node-classification graph-convolution node-embedding graph-neural-network gnn dimensionality-reduction deepwalk node2vec graph2vec benchmark dataset
442
SuperBruceJia / EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
deep-learning eeg-classification eeg-signals-processing tensorflow motor-imagery-classification eeg-data cnn rnn gcn one-shot-learning residual-learning densenet resnet graph-convolutional-neural-networks lstm gru attention-mechanism fully-convolutional-networks transformer transformers
Language:Python 420
BCNet
lkeab / BCNet
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
instance-segmentation occlusion-handling bcnet cvpr2021 cvpr detection segmentation object-detection occlusion non-local detectron2 fastrcnn fcos boundary-detection gcn bilayer-network amodal-instance-segmentation
Language:Python 385
tsinghua-fib-lab / GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks.
gnn graph-neural-networks gcn graph-convolutional-networks recommendation-system recommendation recommendation-algorithms recommender-system graph-representation-learning information-retrieval
383
MixHop-and-N-GCN
benedekrozemberczki / MixHop-and-N-GCN
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
pytorch pytorch-cnn deep-learning machine-learning deepwalk node2vec gcn ngcn graph-convolution convolutional-neural-networks convolutional convolutional-layers tensorflow graph-representation-learning walklets walklet graph-attention-networks graph-attention multi-scale mixhop
Language:Python 381
Zhongdao / gcn_clustering
Code for CVPR'19 paper Linkage-based Face Clustering via GCN
face-clustering clustering gcn graph-convolutional-networks
Language:Jupyter Notebook 332
GraphSAINT / GraphSAINT
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
gcn graph-sampling iclr graphsage jk-net gat ipdps
Language:Python 319
APPNP
benedekrozemberczki / APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
gcn pytorch graph-convolutional-neural-networks graph-neural-network research machine-learning deep-learning deepwalk node2vec graph-attention attention pagerank graph-classification graph-embedding node-embedding iclr deep-neural-networks ppnp network-embedding appnp
Language:Python 304
bknyaz / graph_nn
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
gcn graph graph-classification graph-convolutional-networks graph-unet multigraph pooling pytorch
Language:Jupyter Notebook 295
kyzhouhzau / NLPGNN
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
tensorflow2 bert gpt2 albert bert-ner bert-cls textcnn bilstm-attention albert-ner tf2 message-passing gcn gin gan graph-convolutional-networks graphsage graph-classfication textgcn nlp gnn
Language:Python 289
malllabiisc / WordGCN
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
graph-convolutional-networks gcn tensorflow deep-learning-tutorial word-embeddings natural-language-processing acl2019
Language:Python 268
gasteigerjo / ppnp
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
gcn tensorflow pytorch machine-learning deep-learning pagerank graph-algorithms gnn graph-classification graph-neural-networks
Language:Jupyter Notebook 267
GAM
benedekrozemberczki / GAM
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
graph-convolution gcn graph-attention attention structural-attention deepwalk node2vec graph-classification graph2vec graphsage machine-learning transfer-learning reinforcement-learning reinforcement-agent deep-reinforcement-learning neural-networks pytorch sklearn
Language:Python 254
SGCN
benedekrozemberczki / SGCN
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
gcn graphsage graph-convolution graph-embedding deepwalk node2vec graph-attention network-embedding node-classification signed-network sgcn deep-learning graph-neural-networks neural-network pytorch machine-learning pytorch-geometric transformer gpt2 gpt3
Language:Python 244
maggie0106 / Graph-CNN-in-3D-Point-Cloud-Classification
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
3d-classification convolutional-neural-networks gcn gcnn graph graph-cnn graph-convolutional-network graph-convolutional-networks graph-convolutional-neural-networks point-cloud pointcloud
Language:Python 228
cszhangzhen / HGP-SL
Hierarchical Graph Pooling with Structure Learning
graph graph-neural-networks graph-pooling graph-classification graph-level-representation gcn pytorch graph-algorithms
Language:Python 224
SEAL-CI
benedekrozemberczki / SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
gcn graph-convolutional-networks active-learning active-learning-module deep-learning pytorch tensorflow graph-classification node-classification deep-learning-algorithms deepwalk node2vec graph-neural-network graph-representation-learning network-embedding graph-embedding graph-convolution machine-learning-algorithms gnn graph-neural-networks
Language:Python 193
aprbw / traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
traffic-prediction traffic-flow-prediction traffic-flow-forecasting traffic-forecasting pytorch tensorflow mxnet time-series timeseries timeseries-forecasting forecasting time-series-forecasting cnn lstm gcn transformer attention neural-network
Language:TeX 151
gmftbyGMFTBY / MultiTurnDialogZoo
Multi-turn dialogue baselines written in PyTorch
hred wseq seq2seq recosa gcn gat hran hred-attn transformer dshred vhred kgcvae word-level-attention utterance-level-attention attention multi-head self-attention dailydialog baselines chatbot
Language:Python 146
xiaoxiong74 / TrafficFlowForecasting
Some TrafficFlowForecasting Solutions(交通流量预测解决方案)
gcn traffic-flow-prediction traffic-forecasting
144

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