mvGAEDrug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
Stars: ✭ 27 (-76.11%)
GCMCCode for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
Stars: ✭ 48 (-57.52%)
ProteinGCNProteinGCN: Protein model quality assessment using Graph Convolutional Networks
Stars: ✭ 88 (-22.12%)
gcpyPython toolkit for GEOS-Chem.
Stars: ✭ 34 (-69.91%)
CoVA-Web-Object-DetectionA Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
Stars: ✭ 18 (-84.07%)
TAGCNTensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)
Stars: ✭ 17 (-84.96%)
PyTorch-GNNsThe implement of GNN based on Pytorch
Stars: ✭ 121 (+7.08%)
graph-nvpGraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Stars: ✭ 69 (-38.94%)
cnn-raccoonCreate interactive dashboards for your Convolutional Neural Networks with a single line of code!
Stars: ✭ 31 (-72.57%)
kGCNA graph-based deep learning framework for life science
Stars: ✭ 91 (-19.47%)
NeuralDaterACL 2018: Dating Documents using Graph Convolution Networks
Stars: ✭ 60 (-46.9%)
STEPSpatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Stars: ✭ 39 (-65.49%)
Extremely-Fine-Grained-Entity-TypingPyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)
Stars: ✭ 89 (-21.24%)
PyTelToolsPython Telemac Tools for post-processing tasks (includes a workflow)
Stars: ✭ 24 (-78.76%)
antzANTz immersive 3D data visualization engine
Stars: ✭ 25 (-77.88%)
pb-gcnCode for the BMVC paper (http://bmvc2018.org/contents/papers/1003.pdf)
Stars: ✭ 32 (-71.68%)
kglibTypeDB-ML is the Machine Learning integrations library for TypeDB
Stars: ✭ 523 (+362.83%)
TextCategorization⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
Stars: ✭ 30 (-73.45%)
resolutions-2019A list of data mining and machine learning papers that I implemented in 2019.
Stars: ✭ 19 (-83.19%)
PaiConvMeshOfficial repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"
Stars: ✭ 19 (-83.19%)
Spatio-Temporal-papersThis 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.
Stars: ✭ 180 (+59.29%)
chainer-graph-cnnChainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)
Stars: ✭ 67 (-40.71%)
GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
Stars: ✭ 505 (+346.9%)
FSDAFlexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.
Stars: ✭ 53 (-53.1%)
tmapA very fast visualization library for large, high-dimensional data sets.
Stars: ✭ 146 (+29.2%)
SimP-GCNImplementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
Stars: ✭ 43 (-61.95%)
DCGCNDensely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
Stars: ✭ 73 (-35.4%)
text gcn tutorialA tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019
Stars: ✭ 23 (-79.65%)
awesome-efficient-gnnCode and resources on scalable and efficient Graph Neural Networks
Stars: ✭ 498 (+340.71%)
SelfGNNA PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).
Stars: ✭ 24 (-78.76%)
DSTGCNcodes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction
Stars: ✭ 37 (-67.26%)
L2-GCN[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Stars: ✭ 26 (-76.99%)
AliNetKnowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020
Stars: ✭ 89 (-21.24%)
EulerA distributed graph deep learning framework.
Stars: ✭ 2,701 (+2290.27%)
StellargraphStellarGraph - Machine Learning on Graphs
Stars: ✭ 2,235 (+1877.88%)
Pytorch geometricGraph Neural Network Library for PyTorch
Stars: ✭ 13,359 (+11722.12%)
Awesome Graph ClassificationA collection of important graph embedding, classification and representation learning papers with implementations.
Stars: ✭ 4,309 (+3713.27%)
FastpagesAn easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Stars: ✭ 2,888 (+2455.75%)
c4-diagrams.netThe EasyC4 library is for quick and convenient visualising software architecture in diagrams.net / draw.io application using the C4 model approach.
Stars: ✭ 28 (-75.22%)