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encode_onehot

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

encode_onehot appears in the code Syntology harvested for 24 papers, as 10 distinct code bodies found in 27 places (a place is one code body under one paper). At least one of them ran in 18 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 encode_onehot 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 3 of the 10 distinct code bodies named encode_onehot; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
0ran
7unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 27 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

24 papers shown of 24, newest first; 27 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
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium 21 Oct 2024 yazdanimehdi/FairBiNN/utils.py 19be62d06f0eec5f unverified MIT (permissive)
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning 25 Sep 2024 zxlearningdeep/InfoMGF/InfoMGF/data_process.py 6c897974e5ceb4aa ran · honoured contract fingerprinted no licence file found · pointer only
Balanced Multi-Relational Graph Clustering 23 Jul 2024 zxlearningdeep/bmgc/BMGC/utils/load_data.py 6c897974e5ceb4aa ran · honoured contract fingerprinted no licence file found · pointer only
GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation 22 Mar 2024 phd-lanyu/gtc/code/self_tools/data_tools.py 6c897974e5ceb4aa ran · honoured contract fingerprinted no licence file found · pointer only
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem 26 Jan 2024 huangzichun/cross-space-adaptive-filter/pygcn/utils.py 3ab88254add4c192 ran · our draft was wrong fingerprinted no licence file found · pointer only
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation 29 Nov 2023 zzoomd/fairgkd/utils.py 3ab88254add4c192 ran · our draft was wrong fingerprinted no licence file found · pointer only
Deceptive Fairness Attacks on Graphs via Meta Learning 24 Oct 2023 jiank2/fate/src/fagnn/utils.py 3ab88254add4c192 ran · our draft was wrong fingerprinted no licence file found · pointer only
A Simple and Scalable Graph Neural Network for Large Directed Graphs 14 Jun 2023 seijimaekawa/a2dug/src/utils_general.py 8f0f3f9102b8868f unverified MIT (permissive)
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS 3 Dec 2022 aspuru-guzik-group/dionysus/dionysus/graphs.py 7c188a8e77fa41df unverified MIT (permissive)
The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation 7 Jun 2022 muktilin/nice/maskrcnn_benchmark/modeling/roi_heads/relation_head/loss.py d4d71be64ca48d2a ran · our draft was wrong licence not identified · pointer only
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning 19 Apr 2022 mediabrain-sjtu/groupnet/model/GroupNet_nba.py 3ab88254add4c192 ran · our draft was wrong fingerprinted MIT (permissive)
Graph Ordering Attention Networks 11 Apr 2022 michailchatzianastasis/goat/utils.py f9445ddf8653224c unverified MIT (permissive)
Adaptive Kernel Graph Neural Network 8 Dec 2021 jumxglhf/akgnn/utils.py 3ab88254add4c192 ran · our draft was wrong fingerprinted MIT (permissive)
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration 29 Sep 2021 tkipf/pygcn/pygcn/utils.py 3ab88254add4c192 ran · our draft was wrong fingerprinted MIT (permissive)
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration 29 Sep 2021 Diego999/pyGAT/utils.py f9445ddf8653224c unverified MIT (permissive)
Graph Random Neural Network for Semi-Supervised Learning on Graphs 22 May 2020 Grand20/grand/pygcn/utils.py 3ab88254add4c192 ran · our draft was wrong fingerprinted MIT (permissive)
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses 13 May 2020 I-am-Bot/DeepRobust/deeprobust/graph/utils.py 834ca5c476a3f197 unverified MIT (permissive)
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks 30 Apr 2020 kexinhuang12345/SkipGNN/SkipGNN/utils.py 3ab88254add4c192 ran · our draft was wrong fingerprinted BSD-3-Clause (permissive)
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models 12 Feb 2020 chisam0217/Graph-Universal-Attack/GUA/utils.py 3ab88254add4c192 ran · our draft was wrong fingerprinted MIT (permissive)
Quantifying the Alignment of Graph and Features in Deep Learning 30 May 2019 haczqyf/gcn-data-alignment/alignment/utils.py f9445ddf8653224c unverified MIT (permissive)
Attention-based Graph Neural Network for Semi-supervised Learning 10 Mar 2018 dawnranger/pytorch-AGNN/agnn/utils.py 3ab88254add4c192 ran · our draft was wrong fingerprinted MIT (permissive)
Graph Attention Networks 30 Oct 2017 Anak2016/GAT/utils.py 3ab88254add4c192 ran · our draft was wrong fingerprinted MIT (permissive)
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 clin366/pygcn/pygcn/utils.py 3ab88254add4c192 ran · our draft was wrong fingerprinted MIT (permissive)
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 darnbi/pygcn/pygcn/utils.py 880de3ec87607e47 unverified MIT (permissive)
arXiv:aaai_29668 yhzhu66/RNCGLN/utils/process.py 6c897974e5ceb4aa ran · honoured contract fingerprinted Apache-2.0 (permissive)
arXiv:aaai_29668 yhzhu66/RNCGLN/utils/utils.py 996030d9ac2a825d unverified Apache-2.0 (permissive)
arXiv:aaai_20664 jumxglhf/AKGNN/utils.py 3ab88254add4c192 ran · our draft was wrong fingerprinted MIT (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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