Methods › Graphs › Graph Models › DGCNN › Papers where code ran, page 1
Deep Graph Convolutional Neural Network
DGCNN
Papers archive 2025-07-28
archive papers tagged: 49 · with a code link: 26 · where Syntology ran a sample: 8 (8 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (8 of 49 tagged: 8 with a run with no instrument failure, 0 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 8 of the 8 tagged papers where Syntology ran at least one harvested sample (8 with a run with no instrument failure, 0 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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DepGraph: Towards Any Structural Pruning 30 Jan 2023 · 1 repository · arXiv:2301.12900Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 7 harvested samples)
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TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis 26 Nov 2022 · 1 repository · arXiv:2211.14456Syntology official (archive's flag): 9 ran · 9 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified (of 10 harvested samples) · 1 pointer-only (licence)
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Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis 28 Oct 2022 · 1 repository · arXiv:2210.15904Syntology official (archive's flag): 4 ran · 4 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; 1 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples)
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Efficient Human Pose Estimation via 3D Event Point Cloud 9 Jun 2022 · 1 repository · arXiv:2206.04511Syntology official (archive's flag): 7 ran · 7 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; 4 where Syntology's instrument failed) · 1 unverified (of 8 harvested samples) · 3 pointer-only (licence)
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NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments 31 Jan 2022 · 1 repository · arXiv:2201.13063Syntology 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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Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions 28 Jan 2022 · 6 repositories · arXiv:2201.12296Syntology official (archive's flag): 11 ran · 24 ran (of which 0 constructed an object rather than computing a result; 16 with no instrument failure: 2 honoured, 0 violated, 14 with no contract checked; 8 where Syntology's instrument failed) · 5 unverified (of 29 harvested samples) · 7 pointer-only (licence)
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Object DGCNN: 3D Object Detection using Dynamic Graphs 13 Oct 2021 · 1 repository · arXiv:2110.06923Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 7 harvested samples) · 3 pointer-only (licence)
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IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration 11 Oct 2020 · 2 repositories · arXiv:2010.05272Syntology official (archive's flag): 6 ran · 14 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 1 honoured, 1 violated, 10 with no contract checked; 2 where Syntology's instrument failed) · 6 unverified (of 20 harvested samples) · 5 pointer-only (licence)