Pennsylvania saw a meteoric rise in the number of adolescents receiving puberty blockers through an insurance billing code ...

Take a tour through the best charts 538 made this year. The year 2024 was one for the history books, and 538's visual journalists and reporters were hard at work explaining the data behind the news ...

Abstract: Graph classification is typically done with geometric deep learning. Given a set of graphs from different classes, e.g., representing mutagenic and non-mutagenic molecules in the MUTAG ...

In this seminar, we present an interpretable graph representation through a learning-based approach to predict if a model is worth training or not. We use an example of spiking neural network models ...

Abstract: Hyperdimensional computing (HDC) has drawn significant attention due to its comparable performance with traditional machine learning techniques. HDC classifiers achieve high parallelism, ...

python==3.10.13 torch==1.13.0 numpy==1.23.4 scipy==1.9.3 Device Requirements: The training and testing of AnyGraph requires only one GPU with 24G memory (e.g. 3090, 4090). Using larger input graphs ...

In recent years, analyzing the explanation for the prediction of Graph Neural Networks (GNNs) has attracted increasing attention. Despite this progress, most existing methods do not adequately ...

1 Faculty of Engineering, Free University of Bozen-Bolzano, Bolzano, Italy 2 Fondazione Bruno Kessler, Digital Industry Center, Technologies of Vision, Trento, Italy Graphs are used as a model of ...