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04/06/2023
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction
Most machine learning and data analytics applications, including perform...
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02/02/2023
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Graph Neural Networks (GNNs) have become the leading paradigm for learni...
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10/27/2022
Explaining the Explainers in Graph Neural Networks: a Comparative Study
Following a fast initial breakthrough in graph based learning, Graph Neu...
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10/13/2022
Global Explainability of GNNs via Logic Combination of Learned Concepts
While instance-level explanation of GNN is a well-studied problem with p...
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08/25/2022
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks
Predicting the performance of production code prior to actually executin...
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07/02/2022
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets
Anticipating audience reaction towards a certain piece of text is integr...
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05/18/2022
Neighbourhood matching creates realistic surrogate temporal networks
Temporal networks are essential for modeling and understanding systems w...
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02/22/2022
Generating Synthetic Mobility Networks with Generative Adversarial Networks
The increasingly crucial role of human displacements in complex societal...
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10/04/2021