Methods › General › Clustering › Spectral Clustering › Papers where code ran, page 1
Spectral Clustering
Papers archive 2025-07-28
archive papers tagged: 517 · with a code link: 136 · where Syntology ran a sample: 20 (17 with a run with no instrument failure, 3 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (20 of 517 tagged: 17 with a run with no instrument failure, 3 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 20 of the 20 tagged papers where Syntology ran at least one harvested sample (17 with a run with no instrument failure, 3 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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Deep Signature: Characterization of Large-Scale Molecular Dynamics 3 Oct 2024 · 1 repository · arXiv:2410.02847Syntology official (archive's flag): 3 ran · 5 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; 2 where Syntology's instrument failed) · 3 unverified (of 8 harvested samples)
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Dynamic Spectral Clustering with Provable Approximation Guarantee 5 Jun 2024 · 1 repository · arXiv:2406.03152Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 1 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified (of 7 harvested samples)
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Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering 20 Jul 2023 · 1 repository · arXiv:2307.11030Syntology 15 ran (of which 3 constructed an object rather than computing a result; 14 with no instrument failure: 0 honoured, 0 violated, 14 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 18 harvested samples) · 5 pointer-only (licence)
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A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation 19 Sep 2022 · 1 repository · arXiv:2209.09341Syntology official (archive's flag): 10 ran · 10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 1 honoured, 0 violated, 8 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 10 harvested samples) · 2 pointer-only (licence)
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Higher-order Clustering and Pooling for Graph Neural Networks 2 Sep 2022 · 1 repository · arXiv:2209.03473Syntology 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) · 1 unverified (of 4 harvested samples)
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A Tighter Analysis of Spectral Clustering, and Beyond 2 Aug 2022 · 1 repository · arXiv:2208.01724Syntology official (archive's flag): 2 ran · 2 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; 1 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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Simplifying Clustering with Graph Neural Networks 18 Jul 2022 · 1 repository · arXiv:2207.08779Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks 2 May 2022 · 1 repository · arXiv:2205.00639Syntology official (archive's flag): 3 ran · 3 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; 3 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
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Feature extraction using Spectral Clustering for Gene Function Prediction using Hierarchical Multi-label Classification 25 Mar 2022 · 1 repository · arXiv:2203.13551Syntology 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) · 1 pointer-only (licence)
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Unsupervised Salient Object Detection with Spectral Cluster Voting 23 Mar 2022 · 1 repository · arXiv:2203.12614Syntology official (archive's flag): 5 ran · 5 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; 3 where Syntology's instrument failed) · 4 unverified (of 9 harvested samples) · 4 pointer-only (licence)
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Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut 23 Feb 2022 · 1 repository · arXiv:2202.11539Syntology 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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SSSNET: Semi-Supervised Signed Network Clustering 13 Oct 2021 · 1 repository · arXiv:2110.06623Syntology official (archive's flag): 10 ran · 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 13 harvested samples)
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The decomposition of the higher-order homology embedding constructed from the k-Laplacian 23 Jul 2021 · 1 repository · arXiv:2107.10970Syntology 13 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 16 harvested samples)
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EigenGame Unloaded: When playing games is better than optimizing 8 Feb 2021 · 1 repository · arXiv:2102.04152Syntology 1 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; 0 where Syntology's instrument failed) · 1 unverified (of 2 harvested samples) · 2 pointer-only (licence)
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A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time 5 Jul 2019 · 1 repository · arXiv:1907.02731Syntology 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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A flexible EM-like clustering algorithm for noisy data 2 Jul 2019 · 2 repositories · arXiv:1907.01660Syntology official (archive's flag): 1 ran · 4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 1 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples)
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Attributed Graph Clustering: A Deep Attentional Embedding Approach 15 Jun 2019 · 3 repositories · arXiv:1906.06532Syntology 7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 8 harvested samples) · 1 pointer-only (licence)
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Correlated Variational Auto-Encoders 14 May 2019 · 2 repositories · arXiv:1905.05335Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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Deep clustering: Discriminative embeddings for segmentation and separation 18 Aug 2015 · 8 repositories · arXiv:1508.04306Syntology 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples) · 3 pointer-only (licence)
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A Tutorial on Spectral Clustering 1 Nov 2007 · 5 repositories · arXiv:0711.0189Syntology 6 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; 4 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples) · 4 pointer-only (licence)