-
M.U.S.T
- guangzhou
Highlights
- Pro
Block or Report
Block or report W55699
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseStars
Language
Sort by: Recently starred
Paper Reading list for Shilling Attack and Defense on Recommender Systems
The code of ICDM'21 paper "Deep Generation of Heterogeneous Networks"
W55699 / netgan_pytorch
Forked from mmiller96/netgan_pytorchThe official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)
Code for ICML 2018 paper 'Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions'
This repository aims to provide links to work about adversarial robustness and privacy security on the Graph-based recommendation system.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Reducing Dimensionality method for Nearest Neighbor Search
Benchmarks of approximate nearest neighbor libraries in Python
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
A Python Library for Graph Outlier Detection (Anomaly Detection)
Evaluate truth inference methods in crowdsourcing under data poisoning attack
A curated collection of adversarial attack and defense on graph data.
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Including the data set created by himself, the content of the data set includes the evolution of 972 groups of oracle bones, from oracle bones to regular script. Using twin network to explore the l…
A framework for large scale recommendation algorithms.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
pipipiu / HGB
Forked from THUDM/HGBRevisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
pipipiu / DeepRobust
Forked from DSE-MSU/DeepRobustA pytorch adversarial library for attack and defense methods on images and graphs
The source code of kdd2019 project
W55699 / advertorch
Forked from BorealisAI/advertorchA Toolbox for Adversarial Robustness Research
Datasets-for-Heterogeneous-Graph
A curated list of adversarial attacks and defenses papers on graph-structured data.
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
An "annotated" version of the Transformer Paper in the form of a line-by-line implementation to build an English-to-Chinese translator.