DeepWalk is a research paper published in Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (2014). On theSindex it has a DataRank of 1.4. It has been cited 8,442 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
1.4
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 →Grant: Faculty Research Award
Division of Information and Intelligent Systems
Grant: DBI-1060572 and IIS-1017181
Additional file 1 of Time-varying graph representation learning via higher-order skip-gram with negative sampling
Additional file 1 of Time-varying graph representation learning via higher-order skip-gram with negative sampling
Additional file 1 of Modeling teams performance using deep representational learning on graphs
Additional file 1 of Modeling teams performance using deep representational learning on graphs
DeepWalk: Online Learning of Social Representations
Embedding Ontologies Using Category Theory Semantics
A comparison on Query-Answering System in Knowledge Graphs
A comparison on Query-Answering System in Knowledge Graphs