What is recorded here?
Used tunable second-order random walks to sample diverse node neighborhoods and optimized a skip-gram style objective for continuous network embeddings.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Extends DeepWalk/word-vector objectives; does not invent random walks or all graph embeddings. Walk bias trades between sampled neighborhood structures, not a guarantee of exact structural equivalence or arbitrary unseen-graph inductive transfer. General ML method only; biological examples are not separately curated.
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People and systems
Aditya Grover; Jure Leskovec
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
node2vec: biased second-order walks for neighborhood embeddings
Used tunable second-order random walks to sample diverse node neighborhoods and optimized a skip-gram style objective for continuous network embeddings.
Scientific scope
Extends DeepWalk/word-vector objectives; does not invent random walks or all graph embeddings. Walk bias trades between sampled neighborhood structures, not a guarantee of exact structural equivalence or arbitrary unseen-graph inductive transfer. General ML method only; biological examples are not separately curated.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Aditya Grover; Jure Leskovec
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.