awesome-efficient-gnnCode and resources on scalable and efficient Graph Neural Networks
Stars: ✭ 498 (-1.39%)
Mutual labels: graph-convolutional-networks, graph-neural-networks, graph-representation-learning, gnn
Literatures-on-GNN-AccelerationA reading list for deep graph learning acceleration.
Stars: ✭ 50 (-90.1%)
Mutual labels: graph-convolutional-networks, gcn, graph-neural-networks, gnn
3DInfomaxMaking self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
Stars: ✭ 107 (-78.81%)
Mutual labels: graph-neural-networks, graph-representation-learning, gnn
BGCNA Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Stars: ✭ 129 (-74.46%)
Mutual labels: gcn, graph-neural-networks, gnn
gnn-lspeSource code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Stars: ✭ 165 (-67.33%)
Mutual labels: graph-neural-networks, graph-representation-learning, gnn
EulerA distributed graph deep learning framework.
Stars: ✭ 2,701 (+434.85%)
Mutual labels: graph-convolutional-networks, gcn, graph-neural-networks
Graph Based Deep Learning Literaturelinks to conference publications in graph-based deep learning
Stars: ✭ 3,428 (+578.81%)
Mutual labels: graph-convolutional-networks, graph-neural-networks, graph-representation-learning
StellargraphStellarGraph - Machine Learning on Graphs
Stars: ✭ 2,235 (+342.57%)
Mutual labels: graph-convolutional-networks, gcn, graph-neural-networks
recommenderNReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)
Stars: ✭ 35 (-93.07%)
Mutual labels: recommendation-system, recommender-system, recommendation-algorithms
GNNLens2Visualization tool for Graph Neural Networks
Stars: ✭ 155 (-69.31%)
Mutual labels: graph-neural-networks, graph-representation-learning
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 (-95.25%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
L2-GCN[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Stars: ✭ 26 (-94.85%)
Mutual labels: graph-convolutional-networks, gcn
GraphMixCode for reproducing results in GraphMix paper
Stars: ✭ 64 (-87.33%)
Mutual labels: gcn, gnn
LR-GCCFRevisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
Stars: ✭ 99 (-80.4%)
Mutual labels: recommendation, graph-neural-networks
Machine-LearningExamples of all Machine Learning Algorithm in Apache Spark
Stars: ✭ 15 (-97.03%)
Mutual labels: recommendation-system, recommendation
NARREThis is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations
Stars: ✭ 100 (-80.2%)
Mutual labels: recommender-system, recommendation
Social-RecommendationSummary of social recommendation papers and codes
Stars: ✭ 143 (-71.68%)
Mutual labels: recommender-system, graph-neural-networks