Pinned Repositories
awesome-few-shot-gnn
An index of algorithms for few-shot learning/meta-learning on graphs
awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
Awesome-LLMs-in-Graph-tasks
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
BERT4ETH_PyTorch
The PyTorch implementation for "BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection"
Book6_First-Course-in-Data-Science
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；2024年继续增补，并大修大改两轮。纠错多的同学，有赠书感谢！
Chinese-Text-Classification-Pytorch
中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。
etherscan-labels
Full label data dump of top EVM chains in JSON/CSV.
GNN-Tutorial
B站GNN教程资料
graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
fushun9675's Repositories
fushun9675/awesome-few-shot-gnn
An index of algorithms for few-shot learning/meta-learning on graphs
fushun9675/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
fushun9675/Awesome-LLMs-in-Graph-tasks
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
fushun9675/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
fushun9675/BERT4ETH_PyTorch
The PyTorch implementation for "BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection"
fushun9675/Book6_First-Course-in-Data-Science
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；2024年继续增补，并大修大改两轮。纠错多的同学，有赠书感谢！
fushun9675/Chinese-Text-Classification-Pytorch
中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。
fushun9675/etherscan-labels
Full label data dump of top EVM chains in JSON/CSV.
fushun9675/GNN-Tutorial
B站GNN教程资料
fushun9675/graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
fushun9675/gSpan
Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
fushun9675/nlp_demo
bilibili-nlp
fushun9675/OpenHGNN
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
fushun9675/PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning
fushun9675/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
fushun9675/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
fushun9675/TSGN-master
fushun9675/tuxiaoshi