3 papers
cs.LG2025
HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks
Ke-Jia Chen, Wenhui Mu, Zheng Liu
Recent research has witnessed the remarkable progress of Graph Neural Networks (GNNs) in the realm of graph data representation. However, GNNs still encounter the challenge of stru…
cs.LG2023
Structural Imbalance Aware Graph Augmentation Learning
Zulong Liu, Kejia-Chen, Zheng Liu
Graph machine learning (GML) has made great progress in node classification, link prediction, graph classification and so on. However, graphs in reality are often structurally imba…
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…