3 papers
cs.DC2026
HARP: Orchestrating Automated Parallel Training on Heterogeneous GPU Clusters
Antian Liang, Zhigang Zhao, Kai Zhang +6
With the rapid evolution of GPU architectures, the heterogeneity of model training infrastructures is steadily increasing. In such environments, effectively utilizing all available…
cs.LG2025
MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation
Xuqi Mao, Zhenying He, X. Sean Wang
Graph neural networks (GNNs) have become the state of the art for various graph-related tasks and are particularly prominent in heterogeneous graphs (HetGs). However, several issue…
cs.LG2025
HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks
Xuqi Mao, Zhenyi Chen, Zhenying He +3
Numerous real-world information networks form Heterogeneous Information Networks (HINs) with diverse objects and relations represented as nodes and edges in heterogeneous graphs. S…