Bigscity-LibCity-DatasetsTraffic data processing tools in LibCity
Stars: ✭ 62 (+6.9%)
Mutual labels: traffic, traffic-prediction, spatio-temporal-prediction
Literatures-on-GNN-AccelerationA reading list for deep graph learning acceleration.
Stars: ✭ 50 (-13.79%)
Mutual labels: graph-convolutional-networks, graph-neural-networks, paper-list
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 (+210.34%)
Mutual labels: spatio-temporal, graph-convolutional-networks, traffic-prediction
awesome-efficient-gnnCode and resources on scalable and efficient Graph Neural Networks
Stars: ✭ 498 (+758.62%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
EulerA distributed graph deep learning framework.
Stars: ✭ 2,701 (+4556.9%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
DSTGCNcodes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction
Stars: ✭ 37 (-36.21%)
Mutual labels: graph-convolutional-networks, traffic-accident-prediction
SimP-GCNImplementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
Stars: ✭ 43 (-25.86%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
AC-VRNNPyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"
Stars: ✭ 21 (-63.79%)
Mutual labels: trajectory-prediction, graph-neural-networks
DCGCNDensely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
Stars: ✭ 73 (+25.86%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
Stars: ✭ 505 (+770.69%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
graphml-tutorialsTutorials for Machine Learning on Graphs
Stars: ✭ 125 (+115.52%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
StellargraphStellarGraph - Machine Learning on Graphs
Stars: ✭ 2,235 (+3753.45%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
Pytorch geometricGraph Neural Network Library for PyTorch
Stars: ✭ 13,359 (+22932.76%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
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 (-58.62%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
Graph Based Deep Learning Literaturelinks to conference publications in graph-based deep learning
Stars: ✭ 3,428 (+5810.34%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
Spectral-Designed-Graph-ConvolutionsCodes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
Stars: ✭ 39 (-32.76%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
ProteinGCNProteinGCN: Protein model quality assessment using Graph Convolutional Networks
Stars: ✭ 88 (+51.72%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
mtad-gat-pytorchPyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
Stars: ✭ 85 (+46.55%)
Mutual labels: graph-neural-networks
PathConCombining relational context and relational paths for knowledge graph completion
Stars: ✭ 29 (-50%)
Mutual labels: graph-neural-networks