47 citations · 74 across the 8 of their papers we have counts for
8 papers
Predicting Links on Wikipedia with Anchor Text Information
Robin Brochier, Frédéric Béchet
Wikipedia, the largest open-collaborative online encyclopedia, is a corpus of documents bound together by internal hyperlinks. These links form the building blocks of a large netwo…
New Datasets and a Benchmark of Document Network Embedding Methods for Scientific Expert Finding
Robin Brochier, Antoine Gourru, Adrien Guille +1
The scientific literature is growing faster than ever. Finding an expert in a particular scientific domain has never been as hard as today because of the increasing amount of publi…
Inductive Document Network Embedding with Topic-Word Attention
Robin Brochier, Adrien Guille, Julien Velcin
Document network embedding aims at learning representations for a structured text corpus i.e. when documents are linked to each other. Recent algorithms extend network embedding ap…
Link Prediction with Mutual Attention for Text-Attributed Networks
Robin Brochier, Adrien Guille, Julien Velcin
In this extended abstract, we present an algorithm that learns a similarity measure between documents from the network topology of a structured corpus. We leverage the Scaled Dot-P…
Representation Learning for Recommender Systems with Application to the Scientific Literature
Robin Brochier
The scientific literature is a large information network linking various actors (laboratories, companies, institutions, etc.). The vast amount of data generated by this network con…
Global Vectors for Node Representations
Robin Brochier, Adrien Guille, Julien Velcin
Most network embedding algorithms consist in measuring co-occurrences of nodes via random walks then learning the embeddings using Skip-Gram with Negative Sampling. While it has pr…