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unsorted_segment_sum

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

unsorted_segment_sum appears in the code Syntology harvested for 33 papers, as 11 distinct code bodies found in 36 places (a place is one code body under one paper). At least one of them ran in 30 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 unsorted_segment_sum 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 8 of the 11 distinct code bodies named unsorted_segment_sum; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
7ran · our draft was wrong
0ran · fixture could not drive it
1ran
3unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 36 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

33 papers shown of 33, newest first; 36 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 4 papers added by Syntology; 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
ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning added by Syntology 2026-05 (from id) mansoor181/ConTact/model/modules.py 7a39c2530c1f1d13 ran · our draft was wrong no licence file found · pointer only
PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies added by Syntology 2026-05 (from id) HySonLab/PRIME/models/egnn.py 5fb62a78eb65d3d7 ran · our draft was wrong MIT (permissive)
Charting the Design Space of Neural Graph Representations for Subgraph Matching added by Syntology 2025-10 (from id) structlearning/neural-subm-design-space/GMN/segment.py 65ea513617120aff ran · our draft was wrong no licence file found · pointer only
PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling added by Syntology 2025-10 (from id) Icarus1411/PAINET/model/GMN.py dfdf6dc1a0720e57 ran · our draft was wrong no licence file found · pointer only
Periodic Materials Generation using Text-Guided Joint Diffusion Model 1 Mar 2025 kdmsit/TGDMat/csp_task/model/utils.py d96ea1a7adc8e5bb ran · our draft was wrong MIT (permissive)
Fast and Accurate Blind Flexible Docking 20 Feb 2025 qizhipei/fabind/FABind/fabind/models/egnn.py 7a39c2530c1f1d13 ran · our draft was wrong MIT (permissive)
GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation 14 Jan 2025 sunshy-1/GDiffRetro/code/known_class/stage2/src/egnn.py 0833f5f54b9e99ed unverified MIT (permissive)
Diffusion Twigs with Loop Guidance for Conditional Graph Generation 31 Oct 2024 aalto-quml/diffusion_twigs/cond_gen/model.py 00645c62afd4a2ec ran · our draft was wrong MIT (permissive)
Diffusion Twigs with Loop Guidance for Conditional Graph Generation 31 Oct 2024 Aalto-QuML/Diffusion_twigs/cond_gen/model.py dfdf6dc1a0720e57 ran · our draft was wrong MIT (permissive)
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation 26 Oct 2024 Shen-Lab/EBD/models/egnn.py d96ea1a7adc8e5bb ran · our draft was wrong no licence file found · pointer only
Training Neural Samplers with Reverse Diffusive KL Divergence 16 Oct 2024 jiajunhe98/DiKL/DiKL/models/egnn.py dfdf6dc1a0720e57 ran · our draft was wrong MIT (permissive)
Graph Edit Distance with General Costs Using Neural Set Divergence 26 Sep 2024 structlearning/graphedx/models/graphedx.py 65ea513617120aff ran · our draft was wrong MIT (permissive)
Metric Learning for Clifford Group Equivariant Neural Networks 13 Jul 2024 rick-ali/Metric-Learning-for-CGENNs/models/lorentz_cggnn.py f1e6153da7a4214f ran MIT (permissive)
Fast 3D Molecule Generation via Unified Geometric Optimal Transport 24 May 2024 HaokaiHong/GOAT/models/goat.py d96ea1a7adc8e5bb ran · our draft was wrong no licence file found · pointer only
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics 21 May 2024 ManlioWu/ESTAG/models/model.py 7a39c2530c1f1d13 ran · our draft was wrong no licence file found · pointer only
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space 18 Apr 2024 AlgoMole/GeoBFN/core/module/egnn_clean.py 5fb62a78eb65d3d7 ran · our draft was wrong no licence file found · pointer only
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation 5 Jan 2024 LEOXC1571/GFMDiff/models/egnn.py dfdf6dc1a0720e57 ran · our draft was wrong MIT (permissive)
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite 28 Sep 2023 vgsatorras/egnn/models/egnn_clean/egnn_clean.py 5fb62a78eb65d3d7 ran · our draft was wrong MIT (permissive)
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite 28 Sep 2023 vgsatorras/egnn/models/gcl.py dfdf6dc1a0720e57 ran · our draft was wrong MIT (permissive)
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems 24 May 2023 zjukg/ncgnn/spatial_graph/models/ncgnn.py dfdf6dc1a0720e57 ran · our draft was wrong MIT (permissive)
Geometric Latent Diffusion Models for 3D Molecule Generation 2 May 2023 minkaixu/geoldm/egnn/egnn.py dfdf6dc1a0720e57 ran · our draft was wrong MIT (permissive)
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design 12 Apr 2023 zaixizhang/molcode/model/egnn.py d96ea1a7adc8e5bb ran · our draft was wrong MIT (permissive)
Equivariant Graph Neural Networks for Charged Particle Tracking 11 Apr 2023 ameya1101/equivariant-tracking/utils.py 483d183f742bc940 unverified Apache-2.0 (permissive)
End-to-End Full-Atom Antibody Design 1 Feb 2023 A4Bio/dyAb/models/modules/dyAb_egnn.py 7a39c2530c1f1d13 ran · our draft was wrong MIT (permissive)
Spatial Attention Kinetic Networks with E(n)-Equivariance 21 Jan 2023 ZhangGroup-MITChemistry/Schake_GNN/Schake/v1/Schake_model_v1.py 5fb62a78eb65d3d7 ran · our draft was wrong no licence file found · pointer only
Interpretable Geometric Deep Learning via Learnable Randomness Injection 30 Oct 2022 Graph-COM/xgdl/src/xgdl/backbones/egnn.py dfdf6dc1a0720e57 ran · our draft was wrong MIT (permissive)
Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design 6 Oct 2022 keiradams/squid/models/EGNN.py dfdf6dc1a0720e57 ran · our draft was wrong MIT (permissive)
Conditional Antibody Design as 3D Equivariant Graph Translation 12 Aug 2022 thunlp-mt/mean/models/MCAttGNN/mc_egnn.py 7a39c2530c1f1d13 ran · our draft was wrong MIT (permissive)
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs 18 Jul 2022 jiaor17/3D-MGP/mgp/layers/egnn_clean.py 5fb62a78eb65d3d7 ran · our draft was wrong MIT (permissive)
Equivariant Graph Mechanics Networks with Constraints 12 Mar 2022 hanjq17/gmn/spatial_graph/models/gcl.py dfdf6dc1a0720e57 ran · our draft was wrong MIT (permissive)
E(n) Equivariant Graph Neural Networks 19 Feb 2021 identical code first harvested elsewhere 5fb62a78eb65d3d7 ran · our draft was wrong licence of this copy not recorded
E(n) Equivariant Graph Neural Networks 19 Feb 2021 stdereka/egnn/src/egnn/model/gnn.py 90bd74d59afb1975 ran · our draft was wrong no licence file found · pointer only
Combining Generative and Discriminative Models for Hybrid Inference 6 Jun 2019 vgsatorras/hybrid-inference/models/gnn.py c40ee8f9ea96e188 unverified MIT (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 anton-bushuiev/ppiformer/ppiformer/model/egnn_clean.py 5fb62a78eb65d3d7 ran · our draft was wrong MIT (permissive)
arXiv:aaai_32074 LirongWu/RAAD/code/modules.py 7a39c2530c1f1d13 ran · our draft was wrong MIT (permissive)
arXiv:aaai_25978 jiaor17/3D-EMGP/mgp/layers/egnn_clean.py 5fb62a78eb65d3d7 ran · our draft was wrong 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".

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