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Paul Scherer
Researcher, Relation Therapeutics
Joined
September 2019
Names
Paul Scherer
(Preferred)
,
Paul M Scherer
Emails
****@cam.ac.uk
(Confirmed)
,
****@cl.cam.ac.uk
(Confirmed)
,
****@relationrx.com
(Confirmed)
Personal Links
Google Scholar
DBLP
Career & Education History
Researcher
Relation Therapeutics
(relationrx.com)
2024
–
Present
PhD student
University of Cambridge
(cam.ac.uk)
2019
–
2024
MS student
University of Cambridge
(cam.ac.uk)
2017
–
2018
Undergrad student
University of Edinburgh
(ed.ac.uk)
2012
–
2016
Advisors, Relations & Conflicts
Coauthor
Ramon Vinas Torne
2021
–
2022
Coauthor
Benedek Rozemberczki
2021
–
2022
Coauthor
Oliver Kiss
2021
–
2022
Coauthor
Rik Sarkar
2021
–
2022
Coauthor
Yixuan He
2021
–
2022
Coauthor
George Panagopoulos
2021
–
2022
Coauthor
Maria Astefanoaei
2021
–
2022
Coauthor
Ferenc Beres
2021
–
2022
Coauthor
Nicolas Collignon
2021
–
2022
Coauthor
Maja Trębacz
2020
–
2022
Coauthor
Sumaiyah Kola
2020
–
2022
PhD Advisor
Mateja Jamnik
2019
–
2022
PhD Advisor
Jean Abraham
2019
–
2022
Coauthor
Helena Andres-Terre
2019
–
2022
Coauthor
Nikola Simidjievski
2019
–
2022
Coauthor
Zohreh Shams
2019
–
2022
Coauthor
Cristian Bodnar
2019
–
2022
Coauthor
Ifrah Tariq
2019
–
2022
Coauthor
Botty Dimanov
2019
–
2022
Coauthor
Urska Matjasec
2019
–
2022
PhD Advisor
Pietro Lio
2017
–
2022
Expertise
Deep Learning
,
GNN
,
GCN
,
Graph Learning
2017
–
2030
Publications
When three experiments are better than two: Avoiding intractable correlated aleatoric uncertainty by leveraging a novel bias--variance tradeoff
Paul Scherer
,
Andreas Kirsch
,
Jake P. Taylor-King
Submitted to ICLR 2026
Readers:
Everyone
Distributed Representations of Graphs for Drug Pair Scoring
Paul Scherer
,
Pietro Lio
,
Mateja Jamnik
Published: 24 Nov 2022, Last Modified: 08 Feb 2026
LoG 2022 Poster
Readers:
Everyone
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
Benedek Rozemberczki
,
Paul Scherer
,
Yixuan He
,
George Panagopoulos
,
Maria Sinziana Astefanoaei
,
Oliver Kiss
,
Ferenc Béres
,
Nicolas Collignon
,
Rik Sarkar
2021 (modified: 25 Jan 2026)
CoRR 2021
Readers:
Everyone
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks
Benedek Rozemberczki
,
Paul Scherer
,
Oliver Kiss
,
Rik Sarkar
,
Tamas Ferenci
2021 (modified: 03 Nov 2022)
CoRR 2021
Readers:
Everyone
Incorporating network based protein complex discovery into automated model construction
Paul Scherer
,
Maja Trebacz
,
Nikola Simidjievski
,
Zohreh Shams
,
Helena Andrés-Terré
,
Pietro Liò
,
Mateja Jamnik
2020 (modified: 03 Nov 2022)
CoRR 2020
Readers:
Everyone
Using ontology embeddings for structural inductive bias in gene expression data analysis
Maja Trebacz
,
Zohreh Shams
,
Mateja Jamnik
,
Paul Scherer
,
Nikola Simidjievski
,
Helena Andrés-Terré
,
Pietro Liò
2020 (modified: 03 Nov 2022)
CoRR 2020
Readers:
Everyone
Learning distributed representations of graphs with Geo2DR
Paul Scherer
,
Pietro Liò
2020 (modified: 03 Nov 2022)
CoRR 2020
Readers:
Everyone
Decoupling feature propagation from the design of graph auto-encoders
Paul Scherer
,
Helena Andrés-Terré
,
Pietro Liò
,
Mateja Jamnik
2019 (modified: 03 Nov 2022)
CoRR 2019
Readers:
Everyone
Co-Authors
Andreas Kirsch
Benedek Rozemberczki
Ferenc Béres
George Panagopoulos
Helena Andrés-Terré
Jake P. Taylor-King
Maja Trebacz
Maria Sinziana Astefanoaei
Mateja Jamnik
Nicolas Collignon
Nikola Simidjievski
Oliver Kiss
Pietro Lio
Pietro Liò
Rik Sarkar
Tamas Ferenci
Yixuan He
Zohreh Shams