Abstract: A community-imbalanced graph refers to a graph containing multiple communities with large differences in node and edge scales. Graph sampling is a widely used graph reduction technique to ...

Abstract: In this article, we utilize the concept of average controllability in graphs, along with a novel rank encoding method, to enhance the performance of Graph Neural Networks (GNNs) in social ...

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Negative sampling(NS) is a core component in training collaborative filtering models with implicit feedback, as it directly determines the quality and direction of the optimization signal. Recent ...

This repository includes the code and data for the Graph Sampling Quality Prediction, a machine learning (ML) based method for predicting the quality and performance of different graph sampling ...

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Metal–organic frameworks are increasingly used in environmental technologies, whereby their biomolecular coronas determine their identity, transport, persistence and ecosystem effects. We argue that ...

1 School of Economics and Management, Beijing Forestry University, Beijing, China 2 School of Electronic Information, Zhongyuan University of Science and Technology, Zhengzhou, China Introduction: ...