mark zhong 's repositories
Awesome-robust-Graph-based-recommendation-system-Papers
This repository aims to provide links to work about adversarial robustness and privacy security on the Graph-based recommendation system.
ABSA-PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
Amazon_Vine_Analysis
Analyzed Amazon Vine reviews using PySpark, AWS S3 and RDS and Postgres using PGAdmin in a Google COLAB environment.
ARLib
An open-source framework for conducting data poisoning attacks on recommendation systems, designed to assist researchers and practitioners.
Awesome-Generative-RecSys
A curated list of Generative Recommender Systems (Paper & Code)
covalent
Pythonic tool for running data-science/high performance/quantum-computing workflows in heterogenous environments.
DEGC
Code for our paper 'Dynamically Expandable Graph Convolution for Streaming Recommendation' accepted by the Web Conference (WWW) 2023.
Draw_io
graphs from Draw.io
GAP
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
GFormer
[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
graph-adversarial-learning-literature
A curated list of adversarial attacks and defenses papers on graph-structured data.
Graph-Denoising-SocialRec
The official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)
GraphDA
SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"
My-Resume-Master
my-resume
Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
NPSR
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction (NeurIPS 2023) https://arxiv.org/abs/2310.15416
OTGNet
[ICLR 2023 Oral] Towards Open Temporal Graph Neural Networks
recad
A unified framework for recommender system attacking
RecSysDatasets
This is a repository of public data sources for Recommender Systems (RS).
SurFree
SurFree: a fast surrogate-free black-box attack