Useful links for research, Graph Neural Networks, Software Engineering research, and so on.
Table of Contents
Awesome Knowledge Management: A curated list of amazingly awesome articles, people, applications, software libraries and projects related to the knowledge management space.
IEEE ICASSP Tutorial, Toronto, ON, Canada, June 2021.
paper_writing_tips: Paper Writing Tips
awesome-phd-advice: Collection of advice for prospective and current Ph.D. students
the-art-of-command-line : Master the command line, in one page
Code snippets for custom style
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
IJCAI'22 Tutorial, Robust Time Series Analysis from Theory to Applications in the AI Era
Github source for KDD'22 Time Series Tutorial website
Report your environment! python script from pyTorch
Multi-slice CT Image Reconstruction by Jiang Hsieh [slide]
CT Image Reconstruction by Terry Peters [slide]
Stanford EE369C: Medical Image Reconstruction [link]
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).
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.
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 (e.g. Awesome lists)
Awesome Recommender System: The collection of papers about the recommender system
Energy Based Models
Awesome Software Engineering: A curated list of awesome software engineering resources.