Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs.
- DOI
- 10.1109/tnnls.2021.3084195
- Published
- 2022 Dec
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 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.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2021.3084195,
title = {Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs.},
author = {Chen J and Gong Z and Wang W and Wang C and Xu Z and Lv J and Li X and Wu K and Liu W},
year = {2022},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2021.3084195},
url = {https://doi.org/10.1109/tnnls.2021.3084195}
}RIS
TY - JOUR TI - Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs. AU - Chen J AU - Gong Z AU - Wang W AU - Wang C AU - Xu Z AU - Lv J AU - Li X AU - Wu K AU - Liu W PY - 2022 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2021.3084195 UR - https://doi.org/10.1109/tnnls.2021.3084195 ER -
APA
J, C., Z, G., W, W., C, W., Z, X., J, L., X, L., K, W., & W, L. (2022). Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2021.3084195
Source records
- pubmed · retrieved 2026-11-10T12:35:26.513Z