Pinned Repositories
2023-Kaggle-LECR-Top3-TrainCode
2023 Kaggle LECR 金牌 Top3 训练代码
ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark".
ATP
Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors
awesome-imbalanced-learning-on-graphs
A repository contains a collection of resources and papers on Imbalance Learning On Graphs
Awesome-LLMs-in-Graph-tasks
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
backdoor-learning-resources
A list of backdoor learning resources
BAClassifier
BERT4ETH
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)
EllipticPlusPlus
Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses
qq-jiang's Repositories
qq-jiang/ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark".
qq-jiang/Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors
qq-jiang/BAClassifier
qq-jiang/BitcoinAddressClustering
qq-jiang/DPGraph
qq-jiang/Ethident-TIFS
qq-jiang/HeteDP
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
qq-jiang/I2BGNN
qq-jiang/BlockSci
A high-performance tool for blockchain science and exploration
qq-jiang/Ethereum_dataset
qq-jiang/EtherScamDB
Keep track of all current ethereum scams in a large database
qq-jiang/EvaluatingDPML
This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
qq-jiang/FedGCN
Official Code for FedGCN [NeurIPS 2023]
qq-jiang/FedRecAttack
Model Poisoning Attack to Federated Recommendation
qq-jiang/GIF-torch
qq-jiang/GNNStealing
qq-jiang/GPPT
qq-jiang/GraphLeaks
Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020
qq-jiang/HeteRobust-WWW22
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)
qq-jiang/Label-Only_MIA_for_GNNs
qq-jiang/LM_PersonalInfoLeak
The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)
qq-jiang/lpgnet-prototype
A prototype implementation for Link Private Graph Network (LPGNet)
qq-jiang/Meta-PN
PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)
qq-jiang/MIA-GNN
Membership Inference Attack against Graph Neural Networks
qq-jiang/MIA_disparity
Code for paper: Understanding Disparate Effects of Membership Inference Attacks and Their Countermeasures
qq-jiang/ML-GCN
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
qq-jiang/privacy-preserving-gcn
Privacy-Preserving Graph Convolutional Networks for Text Classification
qq-jiang/Rethinking-Anomaly-Detection
"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
qq-jiang/Semi-Leak
qq-jiang/UTXO
Deciphering Bitcoin Blockchain Data by Cohort Analysis