activity
20102024
most citedGeometric deep learning: going beyond Euclidean data

3.7k citations · 7.1k across the 79 of their papers we have counts for

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Showing 2020Show all

14 papers · 1 filter

cs.CV2020

Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation

Mehdi Bahri, Eimear O' Sullivan, Shunwang Gong +4

Standard registration algorithms need to be independently applied to each surface to register, following careful pre-processing and hand-tuning. Recently, learning-based approaches…

q-bio.QM2020★ 6 cited

Utilising Graph Machine Learning within Drug Discovery and Development

Thomas Gaudelet, Ben Day, Arian R. Jamasb +11

Graph Machine Learning (GML) is receiving growing interest within the pharmaceutical and biotechnology industries for its ability to model biomolecular structures, the functional r…

cs.CV2020

3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties

Soha Sadat Mahdi, Nele Nauwelaers, Philip Joris +8

Face recognition is a widely accepted biometric verification tool, as the face contains a lot of information about the identity of a person. In this study, a 2-step neural-based pi…

cs.IR2020★ 21 cited

Tuning Word2vec for Large Scale Recommendation Systems

Benjamin P. Chamberlain, Emanuele Rossi, Dan Shiebler +2

Word2vec is a powerful machine learning tool that emerged from Natural Lan-guage Processing (NLP) and is now applied in multiple domains, including recom-mender systems, forecastin…

cs.LG2020★ 216 cited

Graph signal processing for machine learning: A review and new perspectives

Xiaowen Dong, Dorina Thanou, Laura Toni +2

The effective representation, processing, analysis, and visualization of large-scale structured data, especially those related to complex domains such as networks and graphs, are o…

cs.LG2020★ 93 cited

Temporal Graph Networks for Deep Learning on Dynamic Graphs

Emanuele Rossi, Ben Chamberlain, Fabrizio Frasca +3

Graph Neural Networks (GNNs) have recently become increasingly popular due to their ability to learn complex systems of relations or interactions arising in a broad spectrum of pro…