Author

Yuhai Zhao

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#edge computing Book Open access Nov 2026

Dynamic Fusion of Topology and History: The AdaGPS Architecture with GatEdgeformer

Graph Transformers show immense potential in graph representation learning, yet adaptively capturing complex topological dependencies remains a critical challenge. This paper proposes AdaGPS, a novel adaptive architecture featuring three core improvements. First, the introduced GatEdgeformer module injects edge feature...

Chen-Kai Hao, Ying Yin, He-Xuan Lv et al. · Proceedings of the 35th ACM... · 0 citations

#graph neural networks Open access Nov 2026

BPB-GNN: Resource-Efficient Distributed GNN Training via Boundary-Aware Prefetching and Cost-Balanced Batch Construction

Distributed graph neural network (GNN) training is essential for large-scale graph learning, but existing mini-batch frameworks still suffer from substantial inter-partition communication overhead and indirect, coarse-grained GPU memory control. In distributed mini-batch training, remote sampled neighbors cause frequen...

Zhichao Chen, Xingwei Wang, Chu Zhao et al. · ACM International Conference... · 0 citations

#graph neural networks Book Open access Nov 2026

CCEC-TGN for Link Prediction in Large-Scale Continuous-Time Dynamic Graphs

Temporal link prediction aims to forecast future connections from historical interactions. As a fundamental problem in temporal graph learning, existing methods exhibit three major limitations. (1) They usually focus on node-level interaction histories and information aggregated from temporal neighbors, while overlooki...

Yuan Li, Jin-Zhao Han, Kai-Yuan Zhang et al. · ACM International Conference... · 0 citations