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sce_loss

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

sce_loss appears in the code Syntology harvested for 15 papers, as 9 distinct code bodies found in 16 places (a place is one code body under one paper). At least one of them ran in 6 of the papers; 4 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 sce_loss 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 5 of the 9 distinct code bodies named sce_loss; 4 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
4ran
4unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 16 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

15 papers shown of 15, newest first; 16 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; 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
MUGEN: Generating Unlearnable Graph Examples for Multiple Learning Tasks added by Syntology 2026-09 (from id) ZiyanLiu16/MUGEN/mugen/models/loss_func.py 6f9bb5eb98ec4887 unverified no licence file found · pointer only
GRASP -Graph-Based Anomaly Detection Through Self-Supervised Classification added by Syntology 2026-05 (from id) ubc-provenance/PIDSMaker/pidsmaker/losses.py 300349a15550aacf ran Apache-2.0 (permissive)
MultiST: A Cross-Attention-Based Multimodal Model for Spatial Transcriptomics added by Syntology 2026-01 (from id) LabJunBMI/MultiST/MultiST/MultiST/MultiST_model.py 89840e9ddc948130 ran · our draft was wrong fingerprinted no licence file found · pointer only
Learning Graph Quantized Tokenizers 17 Oct 2024 limei0307/GQT/gmae2_models/loss_func.py 6f9bb5eb98ec4887 unverified MIT (permissive)
Balanced Multi-Relational Graph Clustering 23 Jul 2024 zxlearningdeep/bmgc/BMGC/module/loss_fun.py 6188cda4ac7f17da ran fingerprinted no licence file found · pointer only
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders 24 Apr 2024 LiuChuang0059/StructMAE/StructMAE-L/chem/pretraining.py 80efc9c262d235a6 ran fingerprinted no licence file found · pointer only
UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs 21 Feb 2024 yf-he/UniGraph/utils/loss_func.py 6f9bb5eb98ec4887 unverified no licence file found · pointer only
Rethinking Graph Masked Autoencoders through Alignment and Uniformity 11 Feb 2024 AzureLeon1/AUG-MAE/augmae/models/loss_func.py 6f9bb5eb98ec4887 unverified no licence file found · pointer only
arXiv:2310.00800 2023-10 (from id) jumxglhf/ParetoGNN/src/model.py 6f9bb5eb98ec4887 unverified CC0-1.0 (permissive)
Uncovering Neural Scaling Laws in Molecular Representation Learning 15 Sep 2023 data-reindeer/nsl_mrl/main_pretrain.py 80efc9c262d235a6 ran fingerprinted MIT (permissive)
Motif-aware Attribute Masking for Molecular Graph Pre-training 8 Sep 2023 einae-nd/moama-dev/pretrain.py c8e38ae70c7e3a31 ran fingerprinted no licence file found · pointer only
Motif-aware Attribute Masking for Molecular Graph Pre-training 8 Sep 2023 einae-nd/moama-dev/gnn_model.py 6f9bb5eb98ec4887 unverified no licence file found · pointer only
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification 18 Jun 2023 eqtpartners/companykg/benchmarks/src/ckg_benchmarks/graphmae/model.py ed7c63effd809589 unverified MIT (permissive)
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner 10 Apr 2023 thudm/graphmae2/models/loss_func.py 6f9bb5eb98ec4887 unverified MIT (permissive)
Differentially Private Adaptive Optimization with Delayed Preconditioners 1 Dec 2022 kenziyuliu/dp2/trainers/dp2_adagrad.py 1d3f9fc33b06bb7f unverified Apache-2.0 (permissive)
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning 15 Apr 2022 HazyResearch/thanos-code/unagi/tasks/loss_modules.py 9c5cbb4a3040b938 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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