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import_class

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

import_class appears in the code Syntology harvested for 29 papers, as 12 distinct code bodies found in 36 places (a place is one code body under one paper). At least one of them ran in 25 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 import_class 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 12 distinct code bodies named import_class; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
0ran · fixture could not drive it
4ran
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 17 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

29 papers shown of 29, 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 2 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
Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark added by Syntology 2026-05 (from id) SUFE-AILAB/WSADBench/WSADBench/myutils.py 428a295d6688c7c9 ran MIT (permissive)
SkeFi: Cross-Modal Knowledge Transfer for Wireless Skeleton-Based Action Recognition added by Syntology 2026-01 (from id) identical code first harvested elsewhere ffed4f85d50832c9 ran · our draft was wrong licence of this copy not recorded
Identifying Spatio-Temporal Drivers of Extreme Events 31 Oct 2024 HakamShams/IDEE/models/build.py 7c9ce993ec082fc0 unverified MIT (permissive)
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition 9 Oct 2024 necolizer/chase/JournalSubmission/CHASE-Joint/model/CTRGCN/ctrgcn.py 48992428a29e341b ran · our draft was wrong MIT (permissive)
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition 22 Jul 2024 liujf69/MMCL-Action/model/MMCL.py ffed4f85d50832c9 ran · our draft was wrong no licence file found · pointer only
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition 22 Jul 2024 liujf69/MMCL-Action/main_MMCL.py 4e946d7c92be9d41 ran · our draft was wrong no licence file found · pointer only
GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents 7 Jun 2024 Joshuaclymer/GameBench/api/util.py 018ea7f67c15236d ran MIT (permissive)
Poser: Unmasking Alignment Faking LLMs by Manipulating Their Internals 8 May 2024 sevdeawesome/POSER/src/api/util.py e20fa66f699664dd ran no licence file found · pointer only
Mora: Enabling Generalist Video Generation via A Multi-Agent Framework 20 Mar 2024 lichao-sun/mora/mora/messages.py bcb79c36d66792b1 ran no licence file found · pointer only
Taylor Videos for Action Recognition 5 Feb 2024 LeiWangR/video-ar/backbone/torchlight/torchlight/io.py 4e946d7c92be9d41 ran · our draft was wrong no licence file found · pointer only
Learning Mutual Excitation for Hand-to-Hand and Human-to-Human Interaction Recognition 4 Feb 2024 nkliuyifang/me-gcn/model/baseline_ctrgcn_interaction_biBetaInit0_gama.py ffed4f85d50832c9 ran · our draft was wrong no licence file found · pointer only
Explore Human Parsing Modality for Action Recognition 4 Jan 2024 liujf69/EPP-Net-Action/Net/ctrgcn.py ffed4f85d50832c9 ran · our draft was wrong no licence file found · pointer only
Explore Human Parsing Modality for Action Recognition 4 Jan 2024 liujf69/EPP-Net-Action/Pose_main.py 4e946d7c92be9d41 ran · our draft was wrong no licence file found · pointer only
Navigating Open Set Scenarios for Skeleton-based Action Recognition 11 Dec 2023 kpeng9510/os-sar/model/baseline.py ffed4f85d50832c9 ran · our draft was wrong no licence file found · pointer only
STEP CATFormer: Spatial-Temporal Effective Body-Part Cross Attention Transformer for Skeleton-based Action Recognition 6 Dec 2023 maclong01/STEP-CATFormer/model/baseline.py ffed4f85d50832c9 ran · our draft was wrong Apache-2.0 (permissive)
STEP CATFormer: Spatial-Temporal Effective Body-Part Cross Attention Transformer for Skeleton-based Action Recognition 6 Dec 2023 maclong01/STEP-CATFormer/main_multipart_ntu.py 4e946d7c92be9d41 ran · our draft was wrong Apache-2.0 (permissive)
Masked Motion Predictors are Strong 3D Action Representation Learners 14 Aug 2023 maoyunyao/mamp/main_finetune.py ffed4f85d50832c9 ran · our draft was wrong no licence file found · pointer only
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness 19 May 2023 zhouyuxuanyx/blockgcn/model/BlockGCN.py ffed4f85d50832c9 ran · our draft was wrong Apache-2.0 (permissive)
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness 19 May 2023 zhouyuxuanyx/blockgcn/torchlight/torchlight/util.py 4e946d7c92be9d41 ran · our draft was wrong Apache-2.0 (permissive)
Hypergraph Transformer for Skeleton-based Action Recognition 17 Nov 2022 ZhouYuxuanYX/Hypergraph-Transformer-for-Skeleton-based-Action-Recognition/feeders/feeder_ntu.py ffed4f85d50832c9 ran · our draft was wrong Apache-2.0 (permissive)
Hypergraph Transformer for Skeleton-based Action Recognition 17 Nov 2022 ZhouYuxuanYX/Hypergraph-Transformer-for-Skeleton-based-Action-Recognition/torchlight/torchlight/util.py 4e946d7c92be9d41 ran · our draft was wrong Apache-2.0 (permissive)
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition 23 Aug 2022 Jho-Yonsei/HD-GCN/model/HDGCN.py ffed4f85d50832c9 ran · our draft was wrong MIT (permissive)
Generative Action Description Prompts for Skeleton-based Action Recognition 10 Aug 2022 martinxm/lst/model/baseline.py ffed4f85d50832c9 ran · our draft was wrong Apache-2.0 (permissive)
Generative Action Description Prompts for Skeleton-based Action Recognition 10 Aug 2022 martinxm/gap/main_multipart_ntu.py 4e946d7c92be9d41 ran · our draft was wrong Apache-2.0 (permissive)
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment 7 Apr 2022 xujinglin/finediving/utils/misc.py 0321c33b1fae968a unverified MIT (permissive)
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling 26 May 2021 matthias-k/DeepGaze/deepgaze_pytorch/deepgaze2e.py fb1d63f8099f907a ran · our draft was wrong no licence file found · pointer only
VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living 17 May 2021 srijandas07/vpnplusplus/model/aagcn.py ffed4f85d50832c9 ran · our draft was wrong no licence file found · pointer only
3D Human Action Representation Learning via Cross-View Consistency Pursuit 29 Apr 2021 identical code first harvested elsewhere 4e946d7c92be9d41 ran · our draft was wrong licence of this copy not recorded
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition 26 Nov 2020 identical code first harvested elsewhere ffed4f85d50832c9 ran · our draft was wrong licence of this copy not recorded
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition 1 Aug 2020 Mikexu007/AS_CAL/linEval.py ffed4f85d50832c9 ran · our draft was wrong MIT (permissive)
On Layer Normalization in the Transformer Architecture 12 Feb 2020 colorfulscoop/tfdlg/tfdlg/utils.py 255a1a9413a38abc unverified MIT (permissive)
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching 11 Nov 2019 xiaoiker/GCN-NAS/gcn_search.py ffed4f85d50832c9 ran · our draft was wrong no licence file found · pointer only
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation 14 Oct 2019 fgnt/padertorch/padertorch/configurable.py 64824c28c3db576f unverified MIT (permissive)
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition 20 Apr 2018 iamjeff7/j-va-aagcn/model/aagcn.py ffed4f85d50832c9 ran · our draft was wrong no licence file found · pointer only
arXiv:03697 jerry-wjh/UbH-GCN/model/UbHGCN.py ffed4f85d50832c9 ran · our draft was wrong MIT (permissive)
arXiv:03697 jerry-wjh/UbH-GCN/torchlight/torchlight/util.py 4e946d7c92be9d41 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