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cs.SI2023
Balancing Augmentation with Edge-Utility Filter for Signed GNNs
Ke-Jia Chen, Yaming Ji, Youran Qu +1
Signed graph neural networks (SGNNs) has recently drawn more attention as many real-world networks are signed networks containing two types of edges: positive and negative. The exi…
cs.SI2022
Layer Imbalance Aware Multiplex Network Embedding
Kejia Chen, Yinchu Qiu, Zheng Liu
Multiplex network embedding is an effective technique to jointly learn the low-dimensional representations of nodes across network layers. However, the number of edges among layers…