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Name: Yeonjun In
Type: User
Company: KAIST
Bio: PhD student@KAIST DSAIL
Location: Daejeon
Name: Yeonjun In
Type: User
Company: KAIST
Bio: PhD student@KAIST DSAIL
Location: Daejeon
Adversarial attacks and defenses on Graph Neural Networks.
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
list of papers, code, and other resources
DS4C: Data Science for COVID-19 in South Korea
List of papers, code and experiments using deep learning for time series forecasting
Let's Read Deep Learning Paper!
Big Leader - DeepLearningBook Study
A pytorch adversarial library for attack and defense methods on images and graphs
Papers about developing DL methods on disassortative graphs
Awesome paper reviews about data mining (DM) and artificial intelligence (AI)
recsys & gnn paper implementation
Must-read papers on graph neural networks (GNN)
A curated collection of adversarial attack and defense on graph data.
Must-read papers on network representation learning (NRL) / network embedding (NE)
This repository covers the proof of pmf, pdf for various prob. distributions, Expectation, Variance, and MLE.
The official source code for Self-Guided Robust Graph Structure Refinement (SG-GSR) at WWW 2024 Research Track.
The official source code for Similarity Preserving Adversarial Graph Contrastive Learning (SP-AGCL) at KDD 2023.
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.