Pinned Repositories
awesome-graph-attack-papers
Adversarial attacks and defenses on Graph Neural Networks.
awesome-RecSys
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
awesome-time-series
list of papers, code, and other resources
coursera-how_to_win_ds_competition
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
GNN_Recsys_paper
recsys & gnn paper implementation
Graph-Adversarial-Learning
A curated collection of adversarial attack and defense on graph data.
torch-SG-GSR
The official source code for Self-Guided Robust Graph Structure Refinement (SG-GSR) at WWW 2024 Research Track.
torch-SP-AGCL
The official source code for Similarity Preserving Adversarial Graph Contrastive Learning (SP-AGCL) at KDD 2023.
yeonjun-in's Repositories
yeonjun-in/torch-SP-AGCL
The official source code for Similarity Preserving Adversarial Graph Contrastive Learning (SP-AGCL) at KDD 2023.
yeonjun-in/torch-SG-GSR
The official source code for Self-Guided Robust Graph Structure Refinement (SG-GSR) at WWW 2024 Research Track.
yeonjun-in/awesome-time-series
list of papers, code, and other resources
yeonjun-in/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
yeonjun-in/awesome-graph-attack-papers
Adversarial attacks and defenses on Graph Neural Networks.
yeonjun-in/awesome-RecSys
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
yeonjun-in/coursera-how_to_win_ds_competition
yeonjun-in/GNN_Recsys_paper
recsys & gnn paper implementation
yeonjun-in/Graph-Adversarial-Learning
A curated collection of adversarial attack and defense on graph data.
yeonjun-in/Laptop-recommendation-system
yeonjun-in/21-fall-brunch-bert
yeonjun-in/awesome-reviews-kaist
yeonjun-in/awesome-reviews-kaist-2
yeonjun-in/GNNPapers
Must-read papers on graph neural networks (GNN)
yeonjun-in/NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
yeonjun-in/CV-yeonjun
yeonjun-in/Data-Science-for-COVID-19
DS4C: Data Science for COVID-19 in South Korea
yeonjun-in/DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
yeonjun-in/DL4DisassortativeGraphs
Papers about developing DL methods on disassortative graphs
yeonjun-in/DSAILatKAIST.github.io
Awesome paper reviews about data mining (DM) and artificial intelligence (AI)
yeonjun-in/health_care
yeonjun-in/IE579_Final_Project
yeonjun-in/Introduction-to-Artificial-Intelligence-Machine-Learning
yeonjun-in/mathematics_for_machine_learning
yeonjun-in/probability_for_machine_learning
This repository covers the proof of pmf, pdf for various prob. distributions, Expectation, Variance, and MLE.
yeonjun-in/stats-110
yeonjun-in/text_mining
yeonjun-in/TIL-Today-I-Learned-
yeonjun-in/torchkge
TorchKGE: Knowledge Graph embedding in Python and PyTorch.
yeonjun-in/yeonjun-in.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics