2danlin
Research Fellow @ Shenzhen Institute of Computing Sciences, Ph.D. @ HKUST, Bachelor @ SCUT
Hong Kong University of Science and TechnologyHong Kong
Pinned Repositories
2danlin.github.io
APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
awesome-cbir-papers
📝Awesome and classical image retrieval papers
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
bidirectional-random-walk
Random Walk (Personalized PageRank) Algorithms for Large Graphs
cf-gnnexplainer
cnnimageretrieval
CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet
PaRMAT
Multi-threaded Large-Scale RMAT Graph Generator.
Random-Walk-with-Restart
design a new method to improve the effectiveness and efficiency of RWR compared with other existing methods.
ResAcc-Random-Walk-with-Restart
2danlin's Repositories
2danlin/ResAcc-Random-Walk-with-Restart
2danlin/2danlin.github.io
2danlin/APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
2danlin/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
2danlin/cf-gnnexplainer
2danlin/DAG
2danlin/datasets
real datasets about graphs/networks
2danlin/deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
2danlin/DeepLearning
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
2danlin/deepwalk
DeepWalk - Deep Learning for Graphs
2danlin/DeosciRec
Deoscillated Graph Collaborative Filtering
2danlin/DIG-public
A library for graph deep learning research
2danlin/faiss
A library for efficient similarity search and clustering of dense vectors.
2danlin/GCFExplainer
Global Counterfactual Explainer for Graph Neural Networks
2danlin/GeCo.jl
GeCo: Quality Counterfactual Explanations in Real Time
2danlin/GNNPapers
Must-read papers on graph neural networks (GNN)
2danlin/LaMP
Graph Neural Networks for Multi-Label Classification
2danlin/LightGCN
2danlin/LightGCN-PyTorch
The PyTorch implementation of LightGCN
2danlin/LINE
LINE: Large-scale information network embedding
2danlin/machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
2danlin/Monte-Carlo-based-Manifold-Ranking
2danlin/nns_benchmark
Benchmark of Nearest Neighbor Search on High Dimensional Data
2danlin/node2vec
2danlin/PGMExplainer
Generating PGM Explanation for GNN predictions
2danlin/PGPR
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
2danlin/ppnp
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank".
2danlin/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
2danlin/pysparnn
Approximate Nearest Neighbor Search for Sparse Data in Python!
2danlin/SGC
official implementation for the paper "Simplifying Graph Convolutional Networks"