This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen…

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

A collection of papers for graph anomaly detection, and published algorithms and datasets.

[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction

Papers about graph transformers.

A list of Graph Causal Learning materials.

Code for DRL-DBSCAN

Data repository for PyGOD

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

A Python Library for Graph Outlier Detection (Anomaly Detection)

Algorithms for outlier, adversarial and drift 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…

A cross-lingual COVID-19 fake news dataset

Code for "Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation"

A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for seamless cross-platform in…

This repo is for the Mis2-KDD 2021 under review paper: Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People’s Republic of China

Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge (ACL 2021)

Python wrapper for the arXiv API

The pytorch implementation of DCI (SIGIR2021).

Streaming Graph Neural Networks via Continual Learning (CIKM 2020)

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

Lifelong Learning of Graph Neural Networks for Open-World Node Classification

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph f…

This repository contains recent research on fake news.

A collection of GNN-based fake news detection models.