Paul Scherer

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 12

Top Topics

Machine Learning Models

Gene Expression

Top Venues

Publications

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)