Home › Code › GraphAttentionLayer

GraphAttentionLayer

Syntologyentry name in harvested coderead from the graph 2026-09-24

GraphAttentionLayer appears in the code Syntology harvested for 11 papers, as 24 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 9 of the papers; 1 of the code bodies carries a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named GraphAttentionLayer do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 21 of the 24 distinct code bodies named GraphAttentionLayer; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
20ran
3unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 24 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

11 papers shown of 11, newest first; 24 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 3 papers added by Syntology. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
MusicDET: Zero-Shot AI-Generated Music Detection added by Syntology 2026-05 (from id) Chaolei98/MusicDET/model.py 208c7531bb636765 ran · metamorphic tier: invariant MIT (permissive)
Learning to Solve Orienteering Problem with Time Windows and Variable Profits added by Syntology 2026-03 (from id) SwonGao/DeCoST/DeCoST/models/SINGLEModel.py 1ed80a36e25591db ran · metamorphic tier: deterministic MIT (permissive)
A Generative Model for Joint Multiple Intent Detection and Slot Filling added by Syntology 2026-02 (from id) LooperXX/AGIF/models/module.py 4efa9075e8c74ca3 ran GPL-2.0 (copyleft) · pointer only
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking 6 May 2025 LiShenglana/GDSTrack/lib/model/models/WFCG.py ed361137aba0c65e ran GPL-3.0 (copyleft) · pointer only
Structured Click Control in Transformer-based Interactive Segmentation 7 May 2024 hahamyt/scc/isegm/model/modeling/gatlayers.py 6e2dfb3168df266d ran · metamorphic tier: invariant GPL-3.0 (copyleft) · pointer only
Sequential Attention Source Identification Based on Feature Representation 28 Jun 2023 cgao-comp/TGASI/code/model.py 6b47224096e3609b unverified no licence file found · pointer only
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees 31 May 2023 ren-research/lomar/policy/gnn_hist.py 1e0a32bd5e09cc68 ran · metamorphic tier: deterministic MIT (permissive)
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression 16 Oct 2021 cheneydon/hrkd/models/gnn.py 8aa25df21252f5a5 ran · metamorphic tier: deterministic no licence file found · pointer only
Discriminative Reasoning for Document-level Relation Extraction 3 Jun 2021 xwjim/DRN/code/models/DRN.py 91e688bdb73b0536 ran MIT (permissive)
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension 12 May 2020 DancingSoul/NQ_BERT-DM/modules/graph_encoder.py 472f4c28f8396e93 unverified no licence file found · pointer only
Graph Attention Networks 30 Oct 2017 pengsl-lab/mssl/MSSL/models/layers.py ef1e2b2dc826e35c ran · metamorphic tier: deterministic no licence file found · pointer only
Graph Attention Networks 30 Oct 2017 subercui/pyGConvAT/layers.py 2b9d25ebc1ad21fe ran · metamorphic tier: deterministic MIT (permissive)
Graph Attention Networks 30 Oct 2017 labmlai/annotated_deep_learning_paper_implementations/labml_nn/graphs/gat/experiment.py f133a4cc58a34a5b ran MIT (permissive)
Graph Attention Networks 30 Oct 2017 Messham87/COVID_GAT/layers.py 4830f24ef485057f ran MIT (permissive)
Graph Attention Networks 30 Oct 2017 Yindong-Zhang/myGAT/layers.py deefaca543b8cc51 ran MIT (permissive)
Graph Attention Networks 30 Oct 2017 gcucurull/jax-gat/models.py aaafc660d13f4e16 ran · our draft was wrong fingerprinted no licence file found · pointer only
Graph Attention Networks 30 Oct 2017 Aveek-Saha/Graph-Attention-Net/gat.py 2b7d556bf1ddeea2 ran MIT (permissive)
Graph Attention Networks 30 Oct 2017 AngusMonroe/GAT-pytorch/layers.py bfd816be65963aae ran MIT (permissive)
Graph Attention Networks 30 Oct 2017 basiralab/RG-Select/models_gat.py 7de5ed842bb1f8ae ran no licence file found · pointer only
Graph Attention Networks 30 Oct 2017 weiyangfb/PyTorchSparseGAT/models.py a1460d4df9be2ad5 ran · metamorphic tier: invariant MIT (permissive)
Graph Attention Networks 30 Oct 2017 tatp22/pytorch-fast-GAT/fast_gat/GAT.py 5ae6f08a8fb439cf ran MIT (permissive)
Graph Attention Networks 30 Oct 2017 dzb1998/pyGAT/layers.py 81f6c5575edeb0bf ran · metamorphic tier: invariant MIT (permissive)
Graph Attention Networks 30 Oct 2017 fongyk/graph-attention/layer.py d1505ed1f609826b ran no licence file found · pointer only
Graph Attention Networks 30 Oct 2017 4pygmalion/GAT_tensorflow/GAT/_model.py c2cadcfe69abfe1c unverified no licence file found · pointer only

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections