Methods › Graphs › Graph Embeddings › node2vec › Papers, page 2
node2vec
Papers archive 2025-07-28
archive papers tagged: 104 · with a code link: 35 · where Syntology ran a sample: 9 (7 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (9 of 104 tagged: 7 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument)
Page 2 of 2: papers 101 to 104 of 104, newest first by the archive's date (ties by slug), in archive order.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec 9 Oct 2017 · 4 repositories · arXiv:1710.02971Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
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A Framework for Generalizing Graph-based Representation Learning Methods 14 Sep 2017 · 0 repositories · arXiv:1709.04596
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Learning Rare Word Representations using Semantic Bridging 24 Jul 2017 · 0 repositories · arXiv:1707.07554
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node2vec: Scalable Feature Learning for Networks 3 Jul 2016 · 20 repositories · arXiv:1607.00653Syntology official: no sample here; runs from other or unrecorded repositories · 15 ran (of which 2 constructed an object rather than computing a result; 13 with no instrument failure: 2 honoured, 0 violated, 11 with no contract checked; 2 where Syntology's instrument failed) · 10 unverified (of 25 harvested samples) · 3 pointer-only (licence)