STEPSpatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Stars: ✭ 39 (-35%)
Extremely-Fine-Grained-Entity-TypingPyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)
Stars: ✭ 89 (+48.33%)
pb-gcnCode for the BMVC paper (http://bmvc2018.org/contents/papers/1003.pdf)
Stars: ✭ 32 (-46.67%)
etsCommand output timestamper
Stars: ✭ 71 (+18.33%)
kglibTypeDB-ML is the Machine Learning integrations library for TypeDB
Stars: ✭ 523 (+771.67%)
TextCategorization⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
Stars: ✭ 30 (-50%)
resolutions-2019A list of data mining and machine learning papers that I implemented in 2019.
Stars: ✭ 19 (-68.33%)
PaiConvMeshOfficial repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"
Stars: ✭ 19 (-68.33%)
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 (+200%)
chainer-graph-cnnChainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)
Stars: ✭ 67 (+11.67%)
GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
Stars: ✭ 505 (+741.67%)
SimP-GCNImplementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
Stars: ✭ 43 (-28.33%)
DCGCNDensely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
Stars: ✭ 73 (+21.67%)
text gcn tutorialA tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019
Stars: ✭ 23 (-61.67%)
awesome-efficient-gnnCode and resources on scalable and efficient Graph Neural Networks
Stars: ✭ 498 (+730%)
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 (-60%)
DSTGCNcodes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction
Stars: ✭ 37 (-38.33%)
L2-GCN[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Stars: ✭ 26 (-56.67%)
AliNetKnowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020
Stars: ✭ 89 (+48.33%)
EulerA distributed graph deep learning framework.
Stars: ✭ 2,701 (+4401.67%)
StellargraphStellarGraph - Machine Learning on Graphs
Stars: ✭ 2,235 (+3625%)
Awesome Graph ClassificationA collection of important graph embedding, classification and representation learning papers with implementations.
Stars: ✭ 4,309 (+7081.67%)
GraphTSNEPyTorch Implementation of GraphTSNE, ICLR’19
Stars: ✭ 113 (+88.33%)
mvGAEDrug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
Stars: ✭ 27 (-55%)
GCMCCode for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
Stars: ✭ 48 (-20%)
ProteinGCNProteinGCN: Protein model quality assessment using Graph Convolutional Networks
Stars: ✭ 88 (+46.67%)
CoVA-Web-Object-DetectionA Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
Stars: ✭ 18 (-70%)
TAGCNTensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)
Stars: ✭ 17 (-71.67%)
PyTorch-GNNsThe implement of GNN based on Pytorch
Stars: ✭ 121 (+101.67%)
graph-nvpGraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Stars: ✭ 69 (+15%)
kGCNA graph-based deep learning framework for life science
Stars: ✭ 91 (+51.67%)
tls-ca-manageMulti-level Certificate Authority Management tool, front-end tool to OpenSSL, written in bash shell.
Stars: ✭ 19 (-68.33%)