112 citations · 182 across the 11 of their papers we have counts for
11 papers
Anchor Prediction: A Topic Modeling Approach
Jean Dupuy, Adrien Guille, Julien Jacques
Networks of documents connected by hyperlinks, such as Wikipedia, are ubiquitous. Hyperlinks are inserted by the authors to enrich the text and facilitate the navigation through th…
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…
Document Network Projection in Pretrained Word Embedding Space
Antoine Gourru, Adrien Guille, Julien Velcin +1
We present Regularized Linear Embedding (RLE), a novel method that projects a collection of linked documents (e.g. citation network) into a pretrained word embedding space. In addi…
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…
Document Network Embedding: Coping for Missing Content and Missing Links
Jean Dupuy, Adrien Guille, Julien Jacques
Searching through networks of documents is an important task. A promising path to improve the performance of information retrieval systems in this context is to leverage dense node…
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…