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2020 – today
- 2022
[j1]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): 1320-1327 (2022)- [c2]Paul Scherer, Pietro Liò, Mateja Jamnik:
Distributed Representations of Graphs for Drug Pair Scoring. LoG 2022: 22 - [i9]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 abs/2205.11117 (2022) - [i8]Paul Scherer, Pietro Liò, Mateja Jamnik:
Distributed representations of graphs for drug pair scoring. CoRR abs/2209.09383 (2022) - [i7]Yana Lishkova, Paul Scherer, Steffen Ridderbusch, Mateja Jamnik, Pietro Liò, Sina Ober-Blöbaum, Christian Offen:
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery. CoRR abs/2211.10830 (2022) - 2021
- [c1]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: 4564-4573 - [i6]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 abs/2102.08100 (2021) - [i5]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 abs/2104.07788 (2021) - 2020
- [i4]Paul Scherer, Pietro Liò:
Learning distributed representations of graphs with Geo2DR. CoRR abs/2003.05926 (2020) - [i3]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 abs/2010.00387 (2020) - [i2]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 abs/2011.10998 (2020)
2010 – 2019
- 2019
- [i1]Paul Scherer, Helena Andrés-Terré, Pietro Liò, Mateja Jamnik:
Decoupling feature propagation from the design of graph auto-encoders. CoRR abs/1910.08589 (2019)
Coauthor Index
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