Deep Multi-Attributed-View Graph Representation Learning is a research paper published in IEEE Transactions on Network Science and Engineering (2022). On theSindex it has a DataRank of 0.442. It has been cited 18 times.
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Linked data & code
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Base Score Contribution
0.442
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Australian Research Council
Grant: DE200100964
Discovery Early Career Researcher Award - Grant ID: DE200100964
FWCI
2.05
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Deep Learning for Graph Anomaly Detection
Deep Learning for Graph Anomaly Detection