Datasets › PCQM4Mv2-LSC › Papers where code ran, page 1

PCQM4Mv2-LSC

Papers archive 2025-07-28

papers with a benchmark row: 17 · with a code link: 17 · where Syntology ran a sample: 12 (12 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument) Syntology

Show: all papers with a benchmark rowonly where code ran (12 of 17 with a benchmark row: 12 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 run it on this dataset or check it against this dataset's benchmarks.

Page 1 of 1: papers 1 to 12 of the 12 papers with a benchmark row here where Syntology ran at least one harvested sample (12 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.

The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset, not that list; the archive's count for this dataset is 17. The Syntology column is from Syntology's graph, stated per sample; it is not part of any archive number. A line reads “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” (C is a part of N, never taken away from it); the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. When the archive marks a repository official for the paper, the cell 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. Syntology's record for this page has not changed since , the first build that kept a record date for it; when this build read Syntology's graph is in the build record.

PaperCodeResultsDateSamples run Syntology
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers 3 1 7 Feb 2024 official (archive's flag): 9 ran · 10 ran (of which 1 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
Topology-Informed Graph Transformer 2 1 3 Feb 2024 official (archive's flag): 8 ran · 17 ran (of which 0 constructed an object rather than computing a result; 17 with no instrument failure: 0 honoured, 2 violated, 15 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (21 pointer-only for licence)
Graph Convolutions Enrich the Self-Attention in Transformers! 1 1 7 Dec 2023 official (archive's flag): 6 ran · 22 ran (of which 0 constructed an object rather than computing a result; 21 with no instrument failure: 2 honoured, 2 violated, 17 with no contract checked; 1 where Syntology's instrument failed) · 7 unverified (10 pointer-only for licence)
Graph Inductive Biases in Transformers without Message Passing 2 1 27 May 2023 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) · 6 unverified (1 pointer-only for licence)
Graph Propagation Transformer for Graph Representation Learning 1 2 19 May 2023 official (archive's flag): 4 ran · 4 ran (of which 4 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) · 4 unverified; every one of the 4 samples that ran constructed an object rather than computing a result (8 pointer-only for licence)
One Transformer Can Understand Both 2D & 3D Molecular Data 1 1 4 Oct 2022 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, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (1 pointer-only for licence)
Pure Transformers are Powerful Graph Learners 2 1 6 Jul 2022 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, 2 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (7 pointer-only for licence)
Recipe for a General, Powerful, Scalable Graph Transformer 4 1 25 May 2022 community repositories only · 3 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; 2 where Syntology's instrument failed) · 18 unverified
GRPE: Relative Positional Encoding for Graph Transformer 1 1 30 Jan 2022 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) · 3 unverified
Global Self-Attention as a Replacement for Graph Convolution 3 2 7 Aug 2021 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
How Powerful are Graph Neural Networks? 19 1 1 Oct 2018 official (archive's flag): 2 ran · 6 ran (of which 2 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) · 4 unverified (5 pointer-only for licence)
Semi-Supervised Classification with Graph Convolutional Networks 55 1 9 Sep 2016 community repositories only · 39 ran (of which 13 constructed an object rather than computing a result; 34 with no instrument failure: 0 honoured, 1 violated, 33 with no contract checked; 5 where Syntology's instrument failed) · 19 unverified (23 pointer-only for licence)