SurFree: a fast surrogate-free black-box attack

An open-source framework for conducting data poisoning attacks on recommendation systems, designed to assist researchers and practitioners.

graphs from Draw.io

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

The official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)

A curated list of adversarial attacks and defenses papers on graph-structured data.

This is a repository of public data sources for Recommender Systems (RS).

Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction (NeurIPS 2023) https://arxiv.org/abs/2310.15416

A unified framework for recommender system attacking

Diagrams for visualizing neural network architecture (Created with diagrams.net)

[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)

[ICLR 2023 Oral] Towards Open Temporal Graph Neural Networks

SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"

A curated list of Generative Recommender Systems (Paper & Code)

Pythonic tool for running data-science/high performance/quantum-computing workflows in heterogenous environments.

Code for our paper 'Dynamically Expandable Graph Convolution for Streaming Recommendation' accepted by the Web Conference (WWW) 2023.