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Paul Scherer

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Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery

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Nov 20, 2022
Yana Lishkova, Paul Scherer, Steffen Ridderbusch, Mateja Jamnik, Pietro Liò, Sina Ober-Blöbaum, Christian Offen

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Distributed representations of graphs for drug pair scoring

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Sep 19, 2022
Paul Scherer, Pietro Liò, Mateja Jamnik

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PyRelationAL: A Library for Active Learning Research and Development

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May 23, 2022
Paul Scherer, Thomas Gaudelet, Alison Pouplin, Suraj M S, Jyothish Soman, Lindsay Edwards, Jake P. Taylor-King

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PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models

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Apr 30, 2021
Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Astefanoaei, Oliver Kiss, Ferenc Beres, Nicolas Collignon, Rik Sarkar

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Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks

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Feb 16, 2021
Benedek Rozemberczki, Paul Scherer, Oliver Kiss, Rik Sarkar, Tamas Ferenci

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Using ontology embeddings for structural inductive bias in gene expression data analysis

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Nov 22, 2020
Maja Trębacz, Zohreh Shams, Mateja Jamnik, Paul Scherer, Nikola Simidjievski, Helena Andres Terre, Pietro Liò

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Incorporating network based protein complex discovery into automated model construction

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Sep 29, 2020
Paul Scherer, Maja Trȩbacz, Nikola Simidjievski, Zohreh Shams, Helena Andres Terre, Pietro Liò, Mateja Jamnik

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Learning distributed representations of graphs with Geo2DR

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Mar 13, 2020
Paul Scherer, Pietro Lio

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Decoupling feature propagation from the design of graph auto-encoders

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Oct 18, 2019
Paul Scherer, Helena Andres-Terre, Pietro Lio, Mateja Jamnik

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