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glorot

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

glorot appears in the code Syntology harvested for 26 papers, as 16 distinct code bodies found in 31 places (a place is one code body under one paper). At least one of them ran in 0 of the papers; 0 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 glorot 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 0 of the 16 distinct code bodies named glorot; 16 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
16unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 31 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

26 papers shown of 26, newest first; 31 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 1 papers added by Syntology; 1 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
EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks added by Syntology 2025-09 (from id) Kotoge/EvoBrain/model/EvoBrain.py bc8d1567729595a2 unverified MIT (permissive)
EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks added by Syntology 2025-09 (from id) Kotoge/EvoBrain/model/gru_gcn.py e43e89f910632281 unverified MIT (permissive)
Combating Bilateral Edge Noise for Robust Link Prediction 2 Nov 2023 flyingdoog/PTDNet/inits.py 1b491f3f784b7cb0 unverified no licence file found · pointer only
A Representation Learning Framework for Property Graphs 27 Jun 2022 yifan-h/pge/pge/inits.py 1b491f3f784b7cb0 unverified MIT (permissive)
Deep Reinforcement Learning for Entity Alignment 7 Mar 2022 guolingbing/RLEA/src/openea/approaches/gcn_align.py 1b491f3f784b7cb0 unverified MIT (permissive)
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations 5 Feb 2022 AdrienC21/CCSD/ccsd/src/models/ScoreNetwork_A.py b26ee0603cfc49f5 unverified MIT (permissive)
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations 5 Feb 2022 harryjo97/gdss/models/ScoreNetwork_A.py 99fea4b7e50f6464 unverified no licence file found · pointer only
Knowing the No-match: Entity Alignment with Dangling Cases 4 Jun 2021 nju-websoft/OpenEA/src/openea/approaches/gmnn.py 1b491f3f784b7cb0 unverified GPL-3.0 (copyleft) · pointer only
Pixel Codec Avatars 9 Apr 2021 facebookresearch/multiface/models.py 0f6bb5f67673c772 unverified licence not identified · pointer only
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding 19 Jul 2020 songtaohe/Sat2Graph/model/tf_common_layer.py db1a1fef3f66db9e unverified MIT (permissive)
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph 1 Jul 2020 Jinjiarui/GraphHINGE/utils/utils.py 57be8b785a8f8a0b unverified Apache-2.0 (permissive)
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs 20 Jun 2020 tkipf/gcn/gcn/inits.py 1b491f3f784b7cb0 unverified MIT (permissive)
Knowledge Embedding Based Graph Convolutional Network 12 Jun 2020 Maysir/GEM-GCN/inits.py aa622c9b6b2d0332 unverified MIT (permissive)
Bandit Samplers for Training Graph Neural Networks 10 Jun 2020 xavierzw/ogb-geniepath-bs/models.py d30cc18b0c05a6ae unverified MIT (permissive)
Bandit Samplers for Training Graph Neural Networks 10 Jun 2020 xavierzw/ogb-geniepath-bs/inits.py 7886d7d7e49e3627 unverified MIT (permissive)
Bandit Samplers for Training Graph Neural Networks 10 Jun 2020 xavierzw/ogb-geniepath-bs/utils.py 30f4098902a4d64d unverified MIT (permissive)
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN 1 Apr 2020 skx300/DyHATR/src/models/inits.py de4aa826c438014b unverified MIT (permissive)
Unifying Graph Convolutional Neural Networks and Label Propagation 17 Feb 2020 achalagarwal/gcn-lpa/src/inits.py 0ff0dc0369c94cbe unverified MIT (permissive)
Unifying Graph Convolutional Neural Networks and Label Propagation 17 Feb 2020 hwwang55/GCN-LPA/src/inits.py 8efce639c727cd2d unverified MIT (permissive)
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction 5 Nov 2019 CRIPAC-DIG/GraphAIR/tensorflow_code/inits.py 1b491f3f784b7cb0 unverified MIT (permissive)
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation 5 Aug 2019 walsvid/Pixel2MeshPlusPlus/modules/inits.py 1b491f3f784b7cb0 unverified BSD-3-Clause (permissive)
Deep Bayesian Optimization on Attributed Graphs 31 May 2019 csjtx1021/DGBO/gcn/inits.py 1b491f3f784b7cb0 unverified MIT (permissive)
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification 13 Feb 2019 CRIPAC-DIG/H-GCN/tensorflow_code/inits.py 1b491f3f784b7cb0 unverified MIT (permissive)
Label Efficient Semi-Supervised Learning via Graph Filtering 28 Jan 2019 liqimai/Efficient-SSL/gcn/inits.py 1b491f3f784b7cb0 unverified MIT (permissive)
Bayesian graph convolutional neural networks for semi-supervised classification 27 Nov 2018 huawei-noah/BGCN/src/inits.py 1b491f3f784b7cb0 unverified 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/inits.py 1b491f3f784b7cb0 unverified MIT (permissive)
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images 5 Apr 2018 nywang16/Pixel2Mesh/p2m/inits.py 1b491f3f784b7cb0 unverified Apache-2.0 (permissive)
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks 3 Apr 2018 IBM/Graph2Seq/main/inits.py 1b491f3f784b7cb0 unverified Apache-2.0 (permissive)
Stochastic Training of Graph Convolutional Networks with Variance Reduction 29 Oct 2017 thu-ml/stochastic_gcn/gcn/inits.py 0828b0182597436a unverified MIT (permissive)
Revisiting Semi-Supervised Learning with Graph Embeddings 29 Mar 2016 asarigun/la-gcn-tensorflow/inits.py 1b491f3f784b7cb0 unverified MIT (permissive)
arXiv:aaai_20873 RICE-EIC/Early-Bird-GCN/gcn/inits.py 1b491f3f784b7cb0 unverified 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".

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