Author

Chao-Chao Hu

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Open access Sep 2026

GTAP: Graph Topology-Aware Pre-Training for Graph Classification

GTAP (Graph Topology-Aware Pre-training), a self-supervised initialization framework for within-dataset graph classification, improves over a matched GCN trained from scratch and achieves competitive accuracy against published baselines on most datasets with available results.

Chao-Chao Hu, Zhao-Hui Zhang · Electronics · 0 citations

Open access Sep 2026

Towards Pure High-Order Aggregation: Rethinking Multi-Hop Neighborhood Learning in Graph Convolutional Networks

Graph convolutional networks (GCNs) have achieved remarkable success in graph representation learning, yet they remain limited by over-smoothing and insufficient utilization of high-order topology. Existing high-order GCNs exploit multi-hop neighbors but ignore the purity of high-order neighborhoods: the high-order gra...

Chao-Chao Hu, Zhao-Hui Zhang · Electronics · 0 citations