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get_layer_uid

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

get_layer_uid appears in the code Syntology harvested for 30 papers, as 4 distinct code bodies found in 30 places (a place is one code body under one paper). At least one of them ran in 27 of the papers; 2 of the code bodies carry 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 get_layer_uid 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 2 of the 4 distinct code bodies named get_layer_uid; 2 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
2unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 30 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

30 papers shown of 30, newest first; 30 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; 2 papers have no page here and are shown by arXiv id only. 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
Combating Bilateral Edge Noise for Robust Link Prediction 2 Nov 2023 flyingdoog/PTDNet/NeuralSparse/layers.py b82968db452628fd ran · honoured contract fingerprinted no licence file found · pointer only
A Representation Learning Framework for Property Graphs 27 Jun 2022 yifan-h/pge/pge/layers.py b82968db452628fd ran · honoured contract fingerprinted MIT (permissive)
SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images 13 Aug 2020 tangjiapeng/SkeletonNet/SkeGCNN/deformation/layers.py b82968db452628fd ran · honoured contract fingerprinted MIT (permissive)
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs 20 Jun 2020 tkipf/gcn/gcn/layers.py b82968db452628fd ran · honoured contract fingerprinted MIT (permissive)
Knowledge Embedding Based Graph Convolutional Network 12 Jun 2020 Maysir/GEM-GCN/layers.py b82968db452628fd ran · honoured contract fingerprinted MIT (permissive)
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN 1 Apr 2020 skx300/DyHATR/src/models/layers.py b82968db452628fd ran · honoured contract fingerprinted MIT (permissive)
Unifying Graph Convolutional Neural Networks and Label Propagation 17 Feb 2020 achalagarwal/gcn-lpa/src/layers.py 2d68c4193e0780cb unverified MIT (permissive)
AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks 10 Feb 2020 haoyfan/AnomalyDAE/src/layers.py addac9c28c065096 ran · honoured contract fingerprinted MIT (permissive)
Tensor Graph Convolutional Networks for Text Classification 12 Jan 2020 thumlp/tensorgcn/TGCN_2layers/layers.py b82968db452628fd ran · honoured contract fingerprinted no licence file found · pointer only
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction 5 Nov 2019 CRIPAC-DIG/GraphAIR/tensorflow_code/layers.py b82968db452628fd ran · honoured contract fingerprinted MIT (permissive)
Semi-Implicit Graph Variational Auto-Encoders 19 Aug 2019 sigvae/SIGraphVAE/sigvae.py addac9c28c065096 ran · honoured contract fingerprinted no licence file found · pointer only
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation 5 Aug 2019 walsvid/Pixel2MeshPlusPlus/modules/layers.py b82968db452628fd ran · honoured contract fingerprinted BSD-3-Clause (permissive)
IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation 24 Jul 2019 alibaba/euler/tf_euler/python/utils/layers.py d476d10afbbf1519 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations 12 Jun 2019 xiangyue9607/BioNEV/src/bionev/GAE/layers.py addac9c28c065096 ran · honoured contract fingerprinted MIT (permissive)
Deep Bayesian Optimization on Attributed Graphs 31 May 2019 csjtx1021/DGBO/gcn/layers.py b82968db452628fd ran · honoured contract fingerprinted MIT (permissive)
Unsupervised Community Detection with Modularity-Based Attention Model 20 May 2019 Ivanopolo/modnet/kipf/layers.py b82968db452628fd ran · honoured contract fingerprinted Apache-2.0 (permissive)
Session-based Social Recommendation via Dynamic Graph Attention Networks 25 Feb 2019 DeepGraphLearning/RecommenderSystems/socialRec/dgrec/layers.py b82968db452628fd ran · honoured contract fingerprinted MIT (permissive)
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification 13 Feb 2019 CRIPAC-DIG/H-GCN/tensorflow_code/layers.py b82968db452628fd ran · honoured contract fingerprinted MIT (permissive)
Bayesian graph convolutional neural networks for semi-supervised classification 27 Nov 2018 huawei-noah/BGCN/src/layers.py b82968db452628fd ran · honoured contract fingerprinted MIT recorded; this copy not marked cleared · pointer only
A Recurrent Graph Neural Network for Multi-Relational Data 5 Nov 2018 bioannidis/adaptive_recurrent_graph_neural_network/layers.py b82968db452628fd ran · honoured contract fingerprinted MIT (permissive)
SQL-to-Text Generation with Graph-to-Sequence Model 14 Sep 2018 IBM/SQL-to-Text/Graph2Seq-master/main/layers.py b82968db452628fd ran · honoured contract fingerprinted Apache-2.0 (permissive)
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model 23 Aug 2018 IBM/Text-to-LogicForm/Graph2Seq-master/main/layers.py b82968db452628fd ran · honoured contract fingerprinted Apache-2.0 (permissive)
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks 3 Apr 2018 IBM/Graph2Seq/main/layers.py b82968db452628fd ran · honoured contract fingerprinted Apache-2.0 (permissive)
Stochastic Training of Graph Convolutional Networks with Variance Reduction 29 Oct 2017 thu-ml/stochastic_gcn/gcn/layers.py b82968db452628fd ran · honoured contract fingerprinted MIT (permissive)
Modeling Relational Data with Graph Convolutional Networks 17 Mar 2017 identical code first harvested elsewhere addac9c28c065096 ran · honoured contract fingerprinted licence of this copy not recorded
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks 6 Mar 2017 AMLab-Amsterdam/MNF_VBNN/utils.py addac9c28c065096 ran · honoured contract fingerprinted MIT (permissive)
Variational Graph Auto-Encoders 21 Nov 2016 Omairss/RepresentationLearning/src/layers.py addac9c28c065096 ran · honoured contract fingerprinted MIT (permissive)
Revisiting Semi-Supervised Learning with Graph Embeddings 29 Mar 2016 asarigun/la-gcn-tensorflow/layers.py b82968db452628fd ran · honoured contract fingerprinted MIT (permissive)
arXiv:ijcai2022_0498 xinxingwu-uk/DGAE/Python/Models/dgae_alpha/layers.py 2d68c4193e0780cb unverified MIT (permissive)
arXiv:aaai_20873 RICE-EIC/Early-Bird-GCN/gcn/layers.py b82968db452628fd ran · honoured contract fingerprinted Apache-2.0 (permissive)

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