ProteinGCNProteinGCN: Protein model quality assessment using Graph Convolutional Networks
Stars: ✭ 88 (+282.61%)
CoVA-Web-Object-DetectionA Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
Stars: ✭ 18 (-21.74%)
TAGCNTensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)
Stars: ✭ 17 (-26.09%)
PyTorch-GNNsThe implement of GNN based on Pytorch
Stars: ✭ 121 (+426.09%)
graph-nvpGraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Stars: ✭ 69 (+200%)
kGCNA graph-based deep learning framework for life science
Stars: ✭ 91 (+295.65%)
NeuralDaterACL 2018: Dating Documents using Graph Convolution Networks
Stars: ✭ 60 (+160.87%)
STEPSpatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Stars: ✭ 39 (+69.57%)
Extremely-Fine-Grained-Entity-TypingPyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)
Stars: ✭ 89 (+286.96%)
pb-gcnCode for the BMVC paper (http://bmvc2018.org/contents/papers/1003.pdf)
Stars: ✭ 32 (+39.13%)
kglibTypeDB-ML is the Machine Learning integrations library for TypeDB
Stars: ✭ 523 (+2173.91%)
resolutions-2019A list of data mining and machine learning papers that I implemented in 2019.
Stars: ✭ 19 (-17.39%)
PaiConvMeshOfficial repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"
Stars: ✭ 19 (-17.39%)
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 (+682.61%)
chainer-graph-cnnChainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)
Stars: ✭ 67 (+191.3%)
GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
Stars: ✭ 505 (+2095.65%)
SimP-GCNImplementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
Stars: ✭ 43 (+86.96%)
DCGCNDensely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
Stars: ✭ 73 (+217.39%)