Paul Scherer

According to our database, Paul Scherer authored at least 11 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery.

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

CoRR, 2022

PyRelationAL: A Library for Active Learning Research and Development.

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

CoRR, 2022

Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases.

Paul Scherer, Maja Trebacz, Nikola Simidjievski, Ramón Viñas, Zohreh Shams, Helena Andrés-Terré, Mateja Jamnik, Pietro Liò

Bioinform., 2022

Distributed Representations of Graphs for Drug Pair Scoring.

Paul Scherer, Pietro Liò, Mateja Jamnik

Proceedings of the Learning on Graphs Conference, 2022

2021

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

CoRR, 2021

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

CoRR, 2021

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

Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Guzmán López, Nicolas Collignon, Rik Sarkar

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

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

CoRR, 2020

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

CoRR, 2020

Learning distributed representations of graphs with Geo2DR.

Paul Scherer, Pietro Liò

CoRR, 2020

2019

Decoupling feature propagation from the design of graph auto-encoders.

Paul Scherer, Helena Andrés-Terré, Pietro Liò, Mateja Jamnik

CoRR, 2019