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Name: Ethan
Type: User
Name: Ethan
Type: User
Open-source code for ''Graph Neural Networks with Adaptive Frequency Response Filter''.
Anomaly detection related books, papers, videos, and toolboxes
Open-source code for "Interpreting Unfairness in Graph Neural Networks via Training Node Attribution".
Some Conferences' accepted paper lists (including AI, ML, Robotic)
Include 6 different datasets from different data sources for different research purposes.
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
A library for graph deep learning research
Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".
Open-source code for "ELEGANT: Certified Defense on the Fairness of Graph Neural Networks".
This is the open-source code for the paper A Benchmark for Fairness-Aware Graph Learning.
综述“Fairness in Graph Mining: A Survey”的中文博客
Papers on fairness
Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)
links to conference publications in graph-based deep learning
Open-source datasets for paper "Fairness in Graph Mining: A Survey".
Implementation of GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks (KDD 2022)
This the open-source code for KDD' 24 IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
Aligning Large Multi-Modal Model with Robust Instruction Tuning
pytorch version of neural collaborative filtering
Code for paper https://arxiv.org/abs/2102.13186
Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs" (KDD 2021).
该仓库是MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
A Python Library for Graph Outlier Detection (Anomaly Detection)
Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.