Pinned Repositories
Awesome-Federated-Learning-on-Graph-and-Tabular-Data
Federated learning on graph and tabular data related papers, frameworks, and datasets.
dbim
decentralised Building Information Modelling
eth-data-analysis
Python scripts to set up a multidimensional model and run an ETL process for Ethereum data analysis.
GCN-SE
GEM
HNE
Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
MERIT
A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning", IJCAI-21
openzeppelin-contracts
OpenZeppelin Contracts is a library for secure smart contract development.
Py3plex
Py3plex - A multilayer complex network visualization and analysis library in python3
resume-chinese
中文LaTeX简历模板
hanbei969's Repositories
hanbei969/multi-task-learning-example
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
hanbei969/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
hanbei969/SDCN
Structural Deep Clustering Network
hanbei969/resume
My Chinese and English Resumes in LaTeX with Font Awesome 5
hanbei969/pkuseg-python
pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation
hanbei969/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
hanbei969/MNE
Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"
hanbei969/Graph-U-Nets
Pytorch implementation of Graph U-Nets (ICML19)
hanbei969/GNNPapers
Must-read papers on graph neural networks (GNN)
hanbei969/graph_nets
Build Graph Nets in Tensorflow
hanbei969/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
hanbei969/M2GRL
A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"
hanbei969/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
hanbei969/M-NMF-1
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
hanbei969/APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
hanbei969/Anomaly_Detection_On_Blockchain
An Encoder-Decoder LSTM and a Snapshot Ensemble Encoder-Decoder (SEED) to detect attacks on Ethereum Classic Blockchain (ETC) are implemented
hanbei969/seaborn-data
Data repository for seaborn examples
hanbei969/grand
hanbei969/GraphNeuralNetwork
《深入浅出图神经网络：GNN原理解析》配套代码
hanbei969/t-viSNE
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
hanbei969/HAN
Heterogeneous Graph Neural Network
hanbei969/nmp_qc
Neural Message Passing for Computer Vision
hanbei969/graph_attention_pool
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
hanbei969/ppnp
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
hanbei969/PNRL
Code for Predictive Network Representation Learning (SIGIR 2017)
hanbei969/covid-19-data
Data on COVID-19 confirmed cases, deaths, and tests • All countries • Updated daily by Our World in Data
hanbei969/owid-datasets
OWID Dataset Collection
hanbei969/graph-adversarial-learning-literature-1
hanbei969/InteractiveGraph
InteractiveGraph provides a web-based interactive visualization and analysis framework for large graph data, which may come from a GSON file, or an online Neo4j graph database. InteractiveGraph also provides applications built on the framework: GraphNavigator, GraphExplorer and RelFinder.
hanbei969/SDNE-based-on-Pytorch
The SDNE (Structural Deep Network Embedding) based on Pytorch