Stars
A collection of projects using graph neural networks implemented from first principles, and using the PyTorch Geometric library
Curated list of data science interview questions and answers
A topic-centric list of HQ open datasets.
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
Compilation of resources for aspiring data scientists
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Explanation method for Graph Neural Networks (GNNs)
Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of magnitudes. GraMi supports finding frequent subgraphs as well a…
Définition d'un schéma de données au format tabulaire (csv, xlsx, ods) pour les données essentielles de la commande publique
Parse and match French addresses
Finding statistically significant subgraphs while correcting for multiple testing
Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph r…
Python implementation of closed frequent subgraph mining algorithm cgSpan. Only undirected graphs are currently supported.
simple version of our torch kaldi toolkit, developed at the LIA by 2 apprentices. (@Chaanks & @vbrignatz)
Metrics to analyze table tennis games