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Paul Scherer
ORCID
Publication Activity (10 Years)
Years Active: 2019-2022
Publications (10 Years): 12
Top Topics
Inductive Bias
Machine Learning Models
Spam Filtering
Gene Expression
Top Venues
CoRR
Bioinform.
LoG
CIKM
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Publications
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Yana Lishkova
,
Paul Scherer
,
Steffen Ridderbusch
,
Mateja Jamnik
,
Pietro Liò
,
Sina Ober-Blöbaum
,
Christian Offen
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery.
CoRR
(2022)
Paul Scherer
,
Pietro Liò
,
Mateja Jamnik
Distributed representations of graphs for drug pair scoring.
CoRR
(2022)
Paul Scherer
,
Pietro Liò
,
Mateja Jamnik
Distributed Representations of Graphs for Drug Pair Scoring.
LoG
(2022)
Paul Scherer
,
Maja Trebacz
,
Nikola Simidjievski
,
Ramón Viñas
,
Zohreh Shams
,
Helena Andrés-Terré
,
Mateja Jamnik
,
Pietro Liò
Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases.
Bioinform.
38 (5) (2022)
Paul Scherer
,
Thomas Gaudelet
,
Alison Pouplin
,
Suraj M. S
,
Jyothish Soman
,
Lindsay Edwards
,
Jake P. Taylor-King
PyRelationAL: A Library for Active Learning Research and Development.
CoRR
(2022)
Benedek Rozemberczki
,
Paul Scherer
,
Yixuan He
,
George Panagopoulos
,
Alexander Riedel
,
Maria Sinziana Astefanoaei
,
Oliver Kiss
,
Ferenc Béres
,
Guzmán López
,
Nicolas Collignon
,
Rik Sarkar
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models.
CIKM
(2021)
Benedek Rozemberczki
,
Paul Scherer
,
Oliver Kiss
,
Rik Sarkar
,
Tamas Ferenci
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks.
CoRR
(2021)
Benedek Rozemberczki
,
Paul Scherer
,
Yixuan He
,
George Panagopoulos
,
Maria Sinziana Astefanoaei
,
Oliver Kiss
,
Ferenc Béres
,
Nicolas Collignon
,
Rik Sarkar
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models.
CoRR
(2021)
Maja Trebacz
,
Zohreh Shams
,
Mateja Jamnik
,
Paul Scherer
,
Nikola Simidjievski
,
Helena Andrés-Terré
,
Pietro Liò
Using ontology embeddings for structural inductive bias in gene expression data analysis.
CoRR
(2020)
Paul Scherer
,
Pietro Liò
Learning distributed representations of graphs with Geo2DR.
CoRR
(2020)
Paul Scherer
,
Maja Trebacz
,
Nikola Simidjievski
,
Zohreh Shams
,
Helena Andrés-Terré
,
Pietro Liò
,
Mateja Jamnik
Incorporating network based protein complex discovery into automated model construction.
CoRR
(2020)
Paul Scherer
,
Helena Andrés-Terré
,
Pietro Liò
,
Mateja Jamnik
Decoupling feature propagation from the design of graph auto-encoders.
CoRR
(2019)