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Non-systematic Literature Review on Graphs (e.g. Awesome lists)
Graph Neural Networks
Graph-based Deep Learning Literature: links to conference publications in graph-based deep learning
GNNs and related works list: A list for GNNs and related works.
awesome deep gnn: Papers about developing deep Graph Neural Networks (GNNs)
Awesome Semi-Supervised Learning: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Awesome Community Detection Research Papers: A curated list of community detection research papers with implementations.
awesome-self-supervised-gnn: Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
GNN4Traffic: This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
Awesome Traffic Prediction: Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
Awesome-DynamicGraphLearning: Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs)
Graph at ICLR 2021: The core reading list for GNN researchers in ICLR 2021
Graph Adversarial Learning Literature: A curated list of adversarial attacks and defenses papers on graph-structured data.
SNAP Graph Workshop 2021: Stanford Graph Learning Online Workshop
Non-systematic Literature Review on Recommender Systems (e.g. Awesome lists)
Awesome Recommender System: The collection of papers about the recommender system
Non-systematic Literature Review on Differential Equations (e.g. Awesome lists)
Software Engineering Academic Genealogy (Family Trees)
Prof. Suntae Kim(Jeonbuk National Univ., Sogang Univ.)
|___ Taeyoung Kim
|___ Sangcheol Choi
|___ Sangjin Nam
|___ Jiwoo Noh
|___ Joongi Hong
|___ Seounghan Song
|___ Mingu Kang
|___ Jeongwhan Choi(2018-)
Prof. Duksan Ryu(Jeonbuk National Univ., KAIST)
|___ Jaewook Lee
|___ Jeongwhan Choi(2020-)
|___ Jiwon Choi