Resources
Useful links for your research, Graph Neural Networks, Software Engineering research, and so on.
Table of Contents
Useful Links(2021)
How to get your paper accepted, written by Peter Pietzuch, Department of Computing Imperial College London
How to read a CS research paper, written by Philip W. L. Fong
Accelerate your research!
Connected Paper: this helps me to find easily the related work.
When you fell apart but got back up again
For a Good Talk!
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).
Traffic Forecasting
GNN4Traffic: This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
Traffic Prediction: A tabular summary of paper and publically available datasets.
Awesome Traffic Prediction: Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
Dynamic Graphs
Awesome-DynamicGraphLearning: Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs)
Further Reading
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
Reading List of Papers about Homophily (Assortative) in GNNs
Non-systematic Literature Review (e.g. Awesome lists)
Recommender Systems
Awesome Recommender System: The collection of papers about the recommender system
Differential Equations
Tabular Data
Energy Based Models
Software Engineering
Awesome Software Engineering: A curated list of awesome software engineering resources.
Useful Links(2020)
The 3 Skills That Helped Me Become a Better Software Engineer
How to give a good research talk, Stephanie Weirich, University of Pennsylvania
How Not to Present a Paper, Anders Møller, Aarhus University
Software Engineering
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