Home › Code › scatter_add

scatter_add

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

scatter_add appears in the code Syntology harvested for 10 papers, as 10 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 5 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 scatter_add 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 10 distinct code bodies named scatter_add; 5 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
5ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 10 places is 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

10 papers shown of 10, newest first; 10 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. 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
Opbench: A Graph Benchmark to Combat the Opioid Crisis added by Syntology 2026-02 (from id) Tianyi-Billy-Ma/OPBench/src/extras/scatter.py afe2645e95b78546 unverified Apache-2.0 (permissive)
A novel Fourier Adjacency Transformer for advanced EEG emotion recognition 28 Feb 2025 YanhaoHuang23/FAT/Model/RGNN_model.py bf0ef31097e9c705 unverified MIT (permissive)
E(n) Equivariant Topological Neural Networks 24 May 2024 NSAPH-Projects/topological-equivariant-networks/etnn/utils.py 7cce375add6e219b ran MIT (permissive)
GraphPro: Graph Pre-training and Prompt Learning for Recommendation 28 Nov 2023 hkuds/graphpl/modules/utils.py d3ae3230ce671e90 ran Apache-2.0 (permissive)
ICML 2023 Topological Deep Learning Challenge : Design and Results 26 Sep 2023 pyt-team/topomodelx/topomodelx/utils/scatter.py b5c5e952d5470bc3 ran MIT (permissive)
LATR: 3D Lane Detection from Monocular Images with Transformer 8 Aug 2023 JMoonr/LATR/models/scatter_utils.py e2d07b9f31178c8b ran MIT (permissive)
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching 27 Jun 2022 chao1224/geossl/Geom3D/models/painn_utils.py bc76859c3c792263 unverified MIT (permissive)
KALA: Knowledge-Augmented Language Model Adaptation 22 Apr 2022 rusty1s/pytorch_scatter/torch_scatter/scatter.py 865555a5b2967160 unverified MIT (permissive)
Equivariant message passing for the prediction of tensorial properties and molecular spectra 5 Feb 2021 learningmatter-mit/NeuralForceField/nff/nn/models/painn.py 04e4a832f331db07 ran MIT (permissive)
IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation 24 Jul 2019 alibaba/euler/tf_euler/python/contrib/py_scatter.py 09d2d98d26a6123f unverified Apache-2.0 recorded; this copy not marked cleared · 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