Pinned Repositories
Amazing-Resources
List of references and online resources related to data science, machine learning and deep learning.
AutoRDF2GML
AutoRDF2GML is a novel framework that semi-automatically transforms RDF data into heterogeneous graph datasets suitable for graph-based machine learning such as graph neural network (GNNs).
awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
awesome-knowledge-graph
A collection of research on knowledge graphs
awesome-knowledge-graph-1
A curated list of Knowledge Graph related learning materials, databases, tools and other resources
awesome-semantic-web
A curated list of various semantic web and linked data resources.
gsanou's Repositories
gsanou/awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
gsanou/awesome-math
A curated list of awesome mathematics resources
gsanou/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
gsanou/awesome-python-data-science
Probably the best curated list of data science software in Python.
gsanou/balloon-synopsis
balloon Synopsis-Visualizing RDF Data
gsanou/bio-kge-apps
Biological applications of knowledge graph embedding methods
gsanou/dragon
[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining
gsanou/fkg-mini-project
Machine Learning (ML) algorithms need data in the form of feature vectors and class labels to come up with a trained model and predict new instances with that trained model. Data stored in Knowledge Graph(s) (KG) is in the form of triples. To apply ML algorithms on KG, we need to convert the individuals in the learning problem into feature vectors. One way to tackle this task is to use KG embedding.
gsanou/Graph-Analysis-with-NetworkX
:sparkler: Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.
gsanou/jena-example
Minimal, free-standing examples of questions about apache jena.
gsanou/KGE-Models
Knowledge Graph Embedding Models
gsanou/KGE_TextMining
A comparison of Knowledge Graph Embedding methods.
gsanou/KGLM
gsanou/Knowledge-Graph-building-nlp
how to build up Knowledge graph
gsanou/les-tutos-datacorner.fr
Ce répertoire contient les sources des tutos du site datacorner.fr
gsanou/lm-bio-kgc
Using pretrained language models for biomedical knowledge graph completion.
gsanou/Machine-Learning-Notebooks
Machine Learning notebooks for refreshing concepts.
gsanou/MadeWithML
Learn how to responsibly deliver value with ML.
gsanou/neo4jd3
Neo4j graph visualization using D3.js
gsanou/NetworkScience_CheatSheets
Sources for the Network Science Cheatsheets
gsanou/NeuroNER
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
gsanou/NS-KGC-AUG
gsanou/qagnn
[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
gsanou/rdf-qa
Explainable complex question answering over RDF files via Llama Index.
gsanou/rulewerk
Java library based on the VLog rule engine
gsanou/st_ner_annotate
Streamlit Named Entity Recognition (NER) annotation custom component
gsanou/staple-api-kg-demo
A knowledge graph app demo built using Staple API on top of MongoDB.
gsanou/stvis
stvis component
gsanou/The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science
gsanou/vizkg