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11/20/2022
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery
By one of the most fundamental principles in physics, a dynamical system...
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09/19/2022
Distributed representations of graphs for drug pair scoring
In this paper we study the practicality and usefulness of incorporating ...
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05/23/2022
PyRelationAL: A Library for Active Learning Research and Development
In constrained real-world scenarios where it is challenging or costly to...
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04/15/2021
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
We present PyTorch Geometric Temporal a deep learning framework combinin...
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02/16/2021
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks
Recurrent graph convolutional neural networks are highly effective machi...
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11/22/2020
Using ontology embeddings for structural inductive bias in gene expression data analysis
Stratifying cancer patients based on their gene expression levels allows...
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09/29/2020
Incorporating network based protein complex discovery into automated model construction
We propose a method for gene expression based analysis of cancer phenoty...
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03/12/2020
Learning distributed representations of graphs with Geo2DR
We present Geo2DR, a Python library for unsupervised learning on graph-s...
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10/18/2019