GuillaumeSalhaGalvan/GuillaumeSalhaGalvan.github.io
Personal website
Associate Professor in AI
Repositories
GuillaumeSalhaGalvan/modularity_aware_gae
Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 2022)
GuillaumeSalhaGalvan/GuillaumeSalhaGalvan
GuillaumeSalhaGalvan/ws_vgae
Python source code and data from the research article "To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders" by G. Salha-Galvan and J. Xu (WWW 2025)
GuillaumeSalhaGalvan/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
GuillaumeSalhaGalvan/LADIES
Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
GuillaumeSalhaGalvan/deezer.github.io
Research team website
GuillaumeSalhaGalvan/APC-RTA
GuillaumeSalhaGalvan/Meta-Graph
Meta-Learning for Few Shot Link Prediction
GuillaumeSalhaGalvan/johanneslutzeyer.github.io
GuillaumeSalhaGalvan/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
GuillaumeSalhaGalvan/recsys21-hlr
Hierarchical Latent Relation Modeling for Collaborative Metric Learning
GuillaumeSalhaGalvan/minimal-light
A simple and elegant jekyll theme for academic personal homepage
GuillaumeSalhaGalvan/ARGA
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
GuillaumeSalhaGalvan/Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
GuillaumeSalhaGalvan/DeepSpeech
A TensorFlow implementation of Baidu's DeepSpeech architecture
GuillaumeSalhaGalvan/sigir2019-2stagesampling
Improving Collaborative Metric Learning for Recommendation by a 2-stage negative sampling strategy.
GuillaumeSalhaGalvan/gae
Implementation of Graph Auto-Encoders in TensorFlow
GuillaumeSalhaGalvan/ds3_bayesian
Data Science Summer School tutorial on Bayesian methods
GuillaumeSalhaGalvan/jraph
GuillaumeSalhaGalvan/CrossCulturalMusicGenrePerception
Python code to reproduce the experiments presented in the article Modeling the Music Genre Perception across Language-Bound Cultures, presented at the EMNLP 2020 conference.
GuillaumeSalhaGalvan/spleeter
Deezer source separation library including pretrained models.
GuillaumeSalhaGalvan/minimal-1
Minimal is a Jekyll theme for GitHub Pages
GuillaumeSalhaGalvan/w2v_reco_hyperparameters_matter
Repository to reproduce results of "Word2vec applied to Recommendation: Hyperparameters Matter" by H. Caselles-Dupré, F. Lesaint and J. Royo-Letelier. The paper will be published on the 12th ACM Conference on Recommender Systems, Vancouver, Canada, 2nd-7th October 2018
GuillaumeSalhaGalvan/3d-force-graph
3D force-directed graph component using ThreeJS/WebGL
GuillaumeSalhaGalvan/PyTorch-BigGraph
Software used for generating embeddings from large-scale graph-structured data.
GuillaumeSalhaGalvan/gcn
Implementation of Graph Convolutional Networks in TensorFlow
GuillaumeSalhaGalvan/graphite
Code for Graphite iterative graph generation
GuillaumeSalhaGalvan/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
GuillaumeSalhaGalvan/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville