Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through (k, 𝒫)-Core based Embedding

Y Wang, J Liu, X Xu, X Ke, T Wu, X Gou - ACM Transactions on …, 2023 - dl.acm.org
Expert finding is crucial for a wealth of applications in both academia and industry. Given a
user query and trove of academic papers, expert finding aims at retrieving the most relevant …

Academic Expert Finding via -Core based Embedding over Heterogeneous Graphs

X Xu, J Liu, Y Wang, X Ke - 2022 IEEE 38th International …, 2022 - ieeexplore.ieee.org
Finding relevant experts in specified areas is often crucial for a wide range of applications in
both academia and industry. Given a user input query and a large amount of academic …

Dynamic Gaussian embedding of authors

A Gourru, J Velcin, C Gravier, J Jacques - Proceedings of the ACM Web …, 2022 - dl.acm.org
Authors publish documents in a dynamic manner. Their topic of interest and writing style
might shift over time. Tasks such as author classification, author identification or link …

Efficient and Effective Expert Finding based on Community Search: A Demonstration

C Du, X Gou, Y Wang, X Xu - … on Advanced Cloud and Big Data …, 2022 - ieeexplore.ieee.org
In recent years, with the vigorous development of social networks, various kinds of data in
the network have shown an explosive growth trend. Among them, a large amount of data in …

An Explanatory Query-Based Framework for Exploring Academic Expertise

O Cocarascu, A McLean, P French, F Toni - arxiv preprint arxiv …, 2021 - arxiv.org
The success of research institutions heavily relies upon identifying the right researchers" for
the job": researchers may need to identify appropriate collaborators, often from across …

Explaining Expert Search and Team Formation Systems with ExES

K Golzadeh, L Golab, J Szlichta - arxiv preprint arxiv:2405.12881, 2024 - arxiv.org
Expert search and team formation systems operate on collaboration networks, with nodes
representing individuals, labeled with their skills, and edges denoting collaboration …

Apprentissage de Représentation dans les Réseaux de Documents: Application à la Littérature Scientifique

R Brochier - 2020 - theses.hal.science
Les travaux présentés dans cette thèse, réalisés en collaboration avec l'entreprise Digital
Scientific Research Technology, ont pour objectif de développer des modèles …