GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
Stars: ✭ 505 (+1529.03%)
StellargraphStellarGraph - Machine Learning on Graphs
Stars: ✭ 2,235 (+7109.68%)
EulerA distributed graph deep learning framework.
Stars: ✭ 2,701 (+8612.9%)
L2-GCN[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Stars: ✭ 26 (-16.13%)
DCGCNDensely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
Stars: ✭ 73 (+135.48%)
awesome-efficient-gnnCode and resources on scalable and efficient Graph Neural Networks
Stars: ✭ 498 (+1506.45%)
BGCNA Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Stars: ✭ 129 (+316.13%)
ProteinGCNProteinGCN: Protein model quality assessment using Graph Convolutional Networks
Stars: ✭ 88 (+183.87%)
mvGAEDrug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
Stars: ✭ 27 (-12.9%)
LibAUCAn End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).
Stars: ✭ 115 (+270.97%)
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 (-22.58%)
SimP-GCNImplementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
Stars: ✭ 43 (+38.71%)
Pytorch geometricGraph Neural Network Library for PyTorch
Stars: ✭ 13,359 (+42993.55%)
kGCNA graph-based deep learning framework for life science
Stars: ✭ 91 (+193.55%)
resolutions-2019A list of data mining and machine learning papers that I implemented in 2019.
Stars: ✭ 19 (-38.71%)
ASAPAAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Stars: ✭ 83 (+167.74%)
SubGNNSubgraph Neural Networks (NeurIPS 2020)
Stars: ✭ 136 (+338.71%)
Graph-EmbedddingReimplementation of Graph Embedding methods by Pytorch.
Stars: ✭ 113 (+264.52%)
visual-compatibilityContext-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)
Stars: ✭ 92 (+196.77%)
GraphScope🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba 来自阿里巴巴的一站式大规模图计算系统 图分析 图查询 图机器学习
Stars: ✭ 1,899 (+6025.81%)
chainer-graph-cnnChainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)
Stars: ✭ 67 (+116.13%)
AC-VRNNPyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"
Stars: ✭ 21 (-32.26%)
BCNetDeep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
Stars: ✭ 434 (+1300%)
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 (+480.65%)
robust-gcnImplementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
Stars: ✭ 35 (+12.9%)
LPGNNLocally Private Graph Neural Networks (ACM CCS 2021)
Stars: ✭ 30 (-3.23%)
EgoCNNCode for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
Stars: ✭ 16 (-48.39%)
TDRGTransformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021
Stars: ✭ 32 (+3.23%)
cwnMessage Passing Neural Networks for Simplicial and Cell Complexes
Stars: ✭ 97 (+212.9%)
Graph Neural NetGraph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
Stars: ✭ 27 (-12.9%)
InfoGraphOfficial code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)
Stars: ✭ 222 (+616.13%)
SIANCode and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"
Stars: ✭ 25 (-19.35%)
GAugAAAI'21: Data Augmentation for Graph Neural Networks
Stars: ✭ 139 (+348.39%)
text gcn tutorialA tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019
Stars: ✭ 23 (-25.81%)
Pro-GNNImplementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Stars: ✭ 202 (+551.61%)
DiGCLThe PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
Stars: ✭ 27 (-12.9%)
PyNetsA Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
Stars: ✭ 114 (+267.74%)
kaggle-champsCode for the CHAMPS Predicting Molecular Properties Kaggle competition
Stars: ✭ 49 (+58.06%)
mdgradPytorch differentiable molecular dynamics
Stars: ✭ 127 (+309.68%)
GalaXCGalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification
Stars: ✭ 28 (-9.68%)
ntds 2019Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
Stars: ✭ 62 (+100%)
SiGATsource code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)
Stars: ✭ 37 (+19.35%)
DSTGCNcodes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction
Stars: ✭ 37 (+19.35%)
pyg autoscaleImplementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
Stars: ✭ 136 (+338.71%)
MSRGCNOfficial implementation of MSR-GCN (ICCV2021 paper)
Stars: ✭ 42 (+35.48%)
GNNLens2Visualization tool for Graph Neural Networks
Stars: ✭ 155 (+400%)
TextCategorization⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
Stars: ✭ 30 (-3.23%)
PaiConvMeshOfficial repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"
Stars: ✭ 19 (-38.71%)
GaitGraphOfficial repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)
Stars: ✭ 68 (+119.35%)
grbGraph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.
Stars: ✭ 70 (+125.81%)
GraphDeeSmartContractSmart contract vulnerability detection using graph neural network (DR-GCN).
Stars: ✭ 84 (+170.97%)