You will need to use a Python version between 3.9 (inclusive) and 3.13 (exclusive) to run the scripts and notebooks. We use Poetry to set up our Python environment as ...

Quantum Variational Graph Auto-Encoders (QVGAE) represent an integration of graph-based machine learning and quantum computing. In this work, we propose a first-of-its-kind quantum implementation of ...

State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China ...

Department of Chemistry and Research Institute for Natural Science, Korea University, Seoul 02841, Korea ...

The repository of GALG, a graph-based artificial intelligence approach to link addresses for user tracking on TLS encrypted traffic. The work has been accepted as ECML/PKDD 2022 accepted Paper.

ABSTRACT: Gene expression is the process through which genetic information in DNA is converted into functional products, primarily proteins. This involves two main steps: transcription, where DNA is ...

The most common manifestation of neurological disorders in children is the occurrence of epileptic seizures. In this study, we propose a multi-branch graph convolutional network (MGCNA) framework with ...

Introduction: Residential load forecasting is a challenging task due to the random fluctuations caused by complex correlations and individual differences. The existing short-term load forecasting ...