Methods › Graphs › Graph Embeddings › node2vec › Papers where code ran, page 1
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)
Syntology We ran code from the paper's repository; we did not isolate this method inside it.
Page 1 of 1: papers 1 to 9 of the 9 tagged papers where Syntology ran at least one harvested sample (7 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.
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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On the Surprising Behaviour of node2vec 16 Jun 2022 · 1 repository · arXiv:2206.08252Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified (of 10 harvested samples)
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Asymptotics of Network Embeddings Learned via Subsampling 6 Jul 2021 · 2 repositories · arXiv:2107.02363Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 1 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 9 harvested samples)
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A pipeline for fair comparison of graph neural networks in node classification tasks 19 Dec 2020 · 1 repository · arXiv:2012.10619Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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k-simplex2vec: a simplicial extension of node2vec 12 Oct 2020 · 1 repository · arXiv:2010.05636Syntology 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
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The Effects of Randomness on the Stability of Node Embeddings 20 May 2020 · 2 repositories · arXiv:2005.10039Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples) · 2 pointer-only (licence)
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Machine Learning on Graphs: A Model and Comprehensive Taxonomy 7 May 2020 · 1 repository · arXiv:2005.03675Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified (of 8 harvested samples)
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Fast and Accurate Network Embeddings via Very Sparse Random Projection 30 Aug 2019 · 2 repositories · arXiv:1908.11512Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
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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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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)