Topic: graph-convolutional-networks Goto Github

👇 Here are 375 public repositories matching this topic...

abduallahmohamed / social-stgcnn
graph-convolutional-networks,Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
User: abduallahmohamed
spatio-temporal-graphs pedestrians social-stgcnn human-trajectory-prediction pedestrian-trajectories graph-convolutional-networks gcnn graph-neural-networks realtime

alibaba / euler
graph-convolutional-networks,A distributed graph deep learning framework.
Organization: alibaba
graph graph-learning network-embedding deep-learning graph-convolutional-networks graph-neural-networks graphsage random-walk node2vec graph-embedding

aptx1231 / traffic-prediction-open-code-summary
graph-convolutional-networks,Summary of open source code for deep learning models in the field of traffic prediction
User: aptx1231
traffic traffic-prediction traffic-flow-prediction traffic-speed-prediction traffic-accident-prediction travel-time-prediction trajectory-prediction on-demand-service open-source deep-learning

bdy9527 / sdcn
graph-convolutional-networks,Structural Deep Clustering Network
User: bdy9527
deep-clustering graph-convolutional-networks self-supervised-learning knn-graphs autoencoder

benedekrozemberczki / awesome-graph-classification
graph-convolutional-networks,A collection of important graph embedding, classification and representation learning papers with implementations.
User: benedekrozemberczki
graph2vec classification-algorithm graph-kernels weisfeiler-lehman kernel-methods deep-graph-kernels netlsd graph-attention-model graph-attention-networks structural-attention

benedekrozemberczki / clustergcn
graph-convolutional-networks,A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
User: benedekrozemberczki
gcn graph-convolution graph-neural-networks graph-convolutional-networks deepwalk node2vec pytorch graphsage graph2vec musae

benedekrozemberczki / pytorch_geometric_temporal
graph-convolutional-networks,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

bknyaz / graph_nn
graph-convolutional-networks,Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
User: bknyaz
Home Page: https://arxiv.org/abs/1811.09595
graph graph-convolutional-networks gcn pytorch multigraph graph-classification graph-unet pooling

cartus / aggcn
graph-convolutional-networks,Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
User: cartus
graph-neural-networks graph-convolutional-networks information-extraction relation-extraction nlp deep-learning

chainer / chainer-chemistry
graph-convolutional-networks,Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Organization: chainer
biology chainer chemistry deep-learning graph-convolutional-networks neural-network python

chaitjo / efficient-gnns
graph-convolutional-networks,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

dair-ai / gnns-recipe
graph-convolutional-networks,🟠 A study guide to learn about Graph Neural Networks (GNNs)
Organization: dair-ai
graph-neural-networks deep-learning machine-learning graph graph-convolutional-networks

dse-msu / deeprobust
graph-convolutional-networks,A pytorch adversarial library for attack and defense methods on images and graphs
User: dse-msu
adversarial-attacks adversarial-examples deep-neural-networks defense graph-neural-networks machine-learning deep-learning graph-convolutional-networks graph-mining

dsgiitr / graph_nets
graph-convolutional-networks,PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Organization: dsgiitr
graph-representation-learning graph-convolutional-networks graph-attention-networks graph-embedding deepwalk node-embedding graph-sage chebyshev-polynomials pytorch

flatironinstitute / deepfri
graph-convolutional-networks,Deep functional residue identification
Organization: flatironinstitute
deep-learning machine-learning gene-ontology graph-convolutional-networks protein-data-bank class-activation-maps tensorflow

garyzhao / semgcn
graph-convolutional-networks,The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).
User: garyzhao
Home Page: https://arxiv.org/abs/1904.03345
3d-pose-estimation graph-convolutional-networks human-pose-estimation

hwwang55 / kgcn
graph-convolutional-networks,A tensorflow implementation of Knowledge Graph Convolutional Networks
User: hwwang55
graph-convolutional-networks knowledge-graph recommender-systems

icoxfog417 / graph-convolution-nlp
graph-convolutional-networks,Graph Convolution Network for NLP
User: icoxfog417
natural-language-processing nlp graph-convolutional-networks machine-learning

indexfziq / gnn4nlp-papers
graph-convolutional-networks,A list of recent papers about Graph Neural Network methods applied in NLP areas.
User: indexfziq
graph-neural-network natural-language-processing graph-convolutional-networks question-answering paperlist knowledge-graph knowledge-representation knowledge-based-systems graph-attention-network heterogeneous-graphs

jwwthu / gnn-communication-networks
graph-convolutional-networks,This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
User: jwwthu
graph-neural-network graph-convolutional-networks graph commmunication-networks

knowledge-precipitation-tribe / spatio-temporal-papers
graph-convolutional-networks,This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
Organization: knowledge-precipitation-tribe
urban-computing infrastructure ailab datasets traffic-forecasting traffic-data urban-computing-papers gnn-traffic traffic-prediction traffic-flow

kyzhouhzau / nlpgnn
graph-convolutional-networks,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

lightaime / deep_gcns_torch
graph-convolutional-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 geometric-deep-learning 3d-point-clouds deep-gcns data-mining pytorch computer-vision bioinformatics cheminformatics social-network science-research deep-learning graph-convolutional-networks

lrjconan / lanczosnetwork
graph-convolutional-networks,Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
User: lrjconan
Home Page: http://arxiv.org/abs/1901.01484
graph-neural-networks graph-convolutional-networks lanczos-network iclr2019 benchmark pytorch

maggie0106 / graph-cnn-in-3d-point-cloud-classification
graph-convolutional-networks,Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
User: maggie0106
graph-convolutional-networks point-cloud graph gcn gcnn graph-cnn 3d-classification pointcloud convolutional-neural-networks graph-convolutional-neural-networks

malllabiisc / compgcn
graph-convolutional-networks,ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
Organization: malllabiisc
link-prediction relation-embeddings iclr2020 graph-convolutional-networks deep-learning pytorch graph-representation-learning

malllabiisc / reside
graph-convolutional-networks,EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Organization: malllabiisc
relation-extraction deep-learning graph-convolutional-networks natural-language-processing distant-supervision neural-relation-extraction

malllabiisc / wordgcn
graph-convolutional-networks,ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
Organization: malllabiisc
graph-convolutional-networks gcn tensorflow deep-learning-tutorial word-embeddings natural-language-processing acl2019

mariewelt / openchem
graph-convolutional-networks,OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
User: mariewelt
Home Page: https://mariewelt.github.io/OpenChem/
computational-biology computational-chemistry deep-learning deep-neural-networks drug-design drug-discovery graph-convolutional-networks machine-learning predictive-modeling pytorch qsar

matenure / fastgcn
graph-convolutional-networks,The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
User: matenure
graph-convolutional-networks graphsage fastgcn reddit

mims-harvard / decagon
graph-convolutional-networks,Graph convolutional neural network for multirelational link prediction
Organization: mims-harvard
Home Page: http://snap.stanford.edu/decagon
graph-convolutional-networks deep-learning representation-learning embeddings pharmacology graph-neural-networks

mlabonne / graph-neural-network-course
graph-convolutional-networks,Free hands-on course about Graph Neural Networks using PyTorch Geometric.
User: mlabonne
Home Page: https://mlabonne.github.io/blog/
deep-learning graph-attention-networks graph-convolutional-networks graph-neural-networks neural-network pytorch pytorch-geometric

naganandy / graph-based-deep-learning-literature
graph-convolutional-networks,links to conference publications in graph-based deep learning
User: naganandy
graph-neural-networks graph-convolutional-networks graph deep-learning neural-networks graph-representation-learning conference-publications

petarv- / dgi
graph-convolutional-networks,Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
User: petarv-
deep-graph-infomax pytorch neural-networks graph-convolutional-networks python unsupervised-learning unsupervised-node-embedding

pyg-team / pytorch_geometric
graph-convolutional-networks,Graph Neural Network Library for PyTorch
Organization: pyg-team
Home Page: https://pyg.org
deep-learning geometric-deep-learning graph-convolutional-networks graph-neural-networks pytorch

qianlim / cape
graph-convolutional-networks,Official implementation of CVPR2020 paper "Learning to Dress 3D People in Generative Clothing" https://arxiv.org/abs/1907.13615
User: qianlim
smpl-model smpl-body mesh-generation vae-gan graph-convolutional-networks clothing cvpr2020 cvpr cvpr-2020

safe-graph / dgfraud
graph-convolutional-networks,A Deep Graph-based Toolbox for Fraud Detection
Organization: safe-graph
fraud-detection fraud-prevention anomaly-detection graph-algorithms graphneuralnetwork machine-learning opensource toolkit datamining datascience

safe-graph / graph-fraud-detection-papers
graph-convolutional-networks,A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Organization: safe-graph
fraud-detection security awsome-list papers machine-learning data-science deep-learning graph-algorithms graph-neural-networks graph-convolutional-networks

shubhomoydas / ad_examples
graph-convolutional-networks,A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
User: shubhomoydas
ensemble-learning active-learning anomaly-detection rnn lstm explaination interpretability time-series timeseries trees

stellargraph / stellargraph
graph-convolutional-networks,StellarGraph - Machine Learning on Graphs
Organization: stellargraph
Home Page: https://stellargraph.readthedocs.io/
graphs machine-learning machine-learning-algorithms graph-convolutional-networks networkx geometric-deep-learning saliency-map interpretability heterogeneous-networks graph-neural-networks graph-analysis graph-machine-learning gcn link-prediction stellargraph-library graph-data python deep-learning data-science

svjan5 / gnns-for-nlp
graph-convolutional-networks,Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
User: svjan5
deep-learning emnlp2019 graph-convolutional-networks pytorch tensorflow tutorial

tianbian95 / bigcn
graph-convolutional-networks,Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020
User: tianbian95
rumor-detection graph-convolutional-networks social-network-analysis

tsinghua-fib-lab / gnn-recommender-systems
graph-convolutional-networks,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

twitter-research / graph-neural-pde
graph-convolutional-networks,Graph Neural PDEs
Organization: twitter-research
deep-learning graph-convolutional-networks graph-neural-networks partial-differential-equations pytorch

vaticle / typedb-ml
graph-convolutional-networks,TypeDB-ML is the Machine Learning integrations library for TypeDB
Organization: vaticle
Home Page: https://vaticle.com
grakn graql machine-learning artificial-intelligence ml knowledge-graph knowledgebase link-prediction relational-learning knowledge-graph-completion

xptree / deepinf
graph-convolutional-networks,DeepInf: Social Influence Prediction with Deep Learning
User: xptree
pytorch social-network graph-attention-networks graph-convolutional-networks

yao8839836 / text_gcn
graph-convolutional-networks,Graph Convolutional Networks for Text Classification. AAAI 2019
User: yao8839836
deep-learning nlp text-classification graph-convolutional-networks

yueliu1999 / awesome-deep-graph-clustering
graph-convolutional-networks,Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
User: yueliu1999
deep-clustering graph-neural-networks self-supervised-learning representation-learning surveys data-mining deep-learning graph-convolutional-networks graph-embedding network-embedding

zhiyongc / graph_convolutional_lstm
graph-convolutional-networks,Traffic Graph Convolutional Recurrent Neural Network
User: zhiyongc
traffic-graph-convolution traffic-flow-prediction graph graph-convolutional-networks lstm traffic-prediction traffic-forecasting

zhongdao / gcn_clustering
graph-convolutional-networks,Code for CVPR'19 paper Linkage-based Face Clustering via GCN
User: zhongdao
clustering face-clustering gcn graph-convolutional-networks