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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)

bitcoinaddressclustering

bitcoinmixing

blink_gnn

Code for CCS '23 paper "Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation"

blockchainspider

A toolkit for blockchain data collection

blocksci

A high-performance tool for blockchain science and exploration

certified_edge_unlearning

chartalist

Sponsored by the Canadian NSERC Discovery Grant RGPIN-2020-05665: Data Science on Blockchain and the National Science Foundation of USA under award number ECCS 2039701 Blockchain Graphs as Testbeds of Power Grid Resilience and Functionality Metrics.

cnn-prediction-zkp-scheme-

The code corresponds to the paper “Validating the integrity of Convolutional Neural Network predictions based on Zero-Knowledge Proof“

debayes

DeBayes: a Bayesian Method for Debiasing Network Embeddings (ICML 2020).

deepim

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

dp-gnn

DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)

dpar

dpgraph

dynamicpfl

nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy

ellipticplusplus

Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses

eth-phishing-detect

Utility for detecting phishing domains targeting Web3 users

ethereum_dataset

etherscamdb

Keep track of all current ethereum scams in a large database

ethident-tifs

evaluatingdpml

This project's goal is to evaluate the privacy leakage of differentially private machine learning models.