AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments
- DOI
- 10.1007/s11704-025-50893-0
- Published
- 2026-05-31T11:08:51Z
- Container
- Frontiers of Computer Science, 2027, 21(5): 2105103
- Publisher
- arXiv
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- supportingPublication license: A publication license was supplied: https://info.arxiv.org/help/license/index.html. Presence improves reuse transparency, not research validity.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1007/s11704-025-50893-0,
title = {AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments},
author = {Kefu Chen and Xin Ai and Qiange Wang and Yanfeng Zhang and Ge Yu},
year = {2026},
journal = {Frontiers of Computer Science, 2027, 21(5): 2105103},
doi = {10.1007/s11704-025-50893-0},
url = {https://doi.org/10.1007/s11704-025-50893-0}
}RIS
TY - JOUR TI - AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments AU - Kefu Chen AU - Xin Ai AU - Qiange Wang AU - Yanfeng Zhang AU - Ge Yu PY - 2026 JO - Frontiers of Computer Science, 2027, 21(5): 2105103 DO - 10.1007/s11704-025-50893-0 UR - https://doi.org/10.1007/s11704-025-50893-0 ER -
APA
Chen, K., Ai, X., Wang, Q., Zhang, Y., & Yu, G. (2026). AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments. Frontiers of Computer Science, 2027, 21(5): 2105103. https://doi.org/10.1007/s11704-025-50893-0
Source records
- arxiv · retrieved 2026-11-10T20:07:15.551Z