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get_graph_feature

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

get_graph_feature appears in the code Syntology harvested for 51 papers, as 38 distinct code bodies found in 59 places (a place is one code body under one paper). At least one of them ran in 25 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 get_graph_feature 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 16 of the 38 distinct code bodies named get_graph_feature; 22 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
6ran · our draft was wrong
4ran · fixture could not drive it
6ran
22unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 21 of the 59 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

51 papers shown of 51, newest first; 59 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. 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
FIRE: Multi-fidelity Regression with Distribution-conditioned In-context Learning using Tabular Foundation Models added by Syntology 2026-01 (from id) Mohamedelrefaie/DrivAerNet/DrivAerNet_v1/RegDGCNN/model.py 807e9944cdc3c15d ran · fixture could not drive it no licence file found · pointer only
FIRE: Multi-fidelity Regression with Distribution-conditioned In-context Learning using Tabular Foundation Models added by Syntology 2026-01 (from id) Mohamedelrefaie/DrivAerNet/RegDGCNN_SurfaceFields/model_pressure.py 605f3394f021e8a6 unverified licence not identified · pointer only
Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance added by Syntology 2025-08 (from id) AIASLab/CFG-ICCV2025/Model/DGCNN.py 9019aa1bd21a7d63 unverified MIT (permissive)
Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance added by Syntology 2025-08 (from id) AIASLab/CFG-ICCV2025/Model/ccn.py 0a79ea552f8be96b unverified MIT (permissive)
Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss 15 Oct 2024 Forrest-110/FluidMotionNet/models/extractor.py 9019aa1bd21a7d63 unverified GPL-3.0 (copyleft) · pointer only
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need 4 Oct 2024 CGCL-codes/UnlearnablePC/model.py 9a8756778dd8234a ran · fixture could not drive it MIT (permissive)
Symmetry-Robust 3D Orientation Estimation 2 Oct 2024 cscarv/3d-orienter/ml_models/orienter_model/DGCNNFlipper.py 9a8756778dd8234a ran · fixture could not drive it GPL-3.0 (copyleft) · pointer only
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation 23 Jul 2024 shimazing/CloudFixer/classifier/models.py 9a8756778dd8234a ran · fixture could not drive it MIT (permissive)
Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion 3 Jul 2024 WHU-USI3DV/EGIInet/models/dec_net.py 4afc8385ea7e18d6 unverified MIT (permissive)
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks 13 Jun 2024 identical code first harvested elsewhere 807e9944cdc3c15d ran · fixture could not drive it licence of this copy not recorded
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling 27 May 2024 zyh16143998882/LCM/detection/models/model_3detr_lcm.py 9a8756778dd8234a ran · fixture could not drive it no licence file found · pointer only
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks 20 Apr 2024 r-pad/taxpose/taxpose/nets/transformer_flow.py a4df418e59bd929e ran · fixture could not drive it MIT (permissive)
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis 17 Mar 2024 wdttt/LocoTrans/model_equi.py 6dd0e9aa123fafcb ran · our draft was wrong no licence file found · pointer only
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction 12 Mar 2024 mohamedelrefaie/drivaernet/DeepSurrogates/DeepSurrogate_models.py 807e9944cdc3c15d ran · fixture could not drive it licence not identified · pointer only
DiffSF: Diffusion Models for Scene Flow Estimation 8 Mar 2024 zhangyushan3/diffsf/models/backbone.py 6106815f95a68b0b ran no licence file found · pointer only
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds 8 Mar 2024 TRLou/HiT-ADV/model/dgcnn_cls.py 9019aa1bd21a7d63 unverified no licence file found · pointer only
GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion 22 Feb 2024 meowuu7/geneoh-diffusion/model/DGCNN.py 0d3c53ea3ea88e3e ran MIT (permissive)
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning 5 Jan 2024 jinec98/dhgcn/scene_seg/model.py 9019aa1bd21a7d63 unverified no licence file found · pointer only
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning 5 Jan 2024 jinec98/dhgcn/obj_cls/model.py d824c1bbd5cbd1ae unverified no licence file found · pointer only
Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly 13 Sep 2023 crtie/leveraging-se-3-equivariance-for-learning-3d-geometric-shape-assembly/NSM/shape_assembly/models/encoder/dgcnn.py e199cd551c1e9c3e ran fingerprinted no licence file found · pointer only
Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly 13 Sep 2023 crtie/leveraging-se-3-equivariance-for-learning-3d-geometric-shape-assembly/NSM/shape_assembly/models/encoder/vn_dgcnn.py 2cda2e4251432e39 ran no licence file found · pointer only
Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation 23 May 2023 heshuting555/pap-fzs3d/models/dgcnn_new.py 9019aa1bd21a7d63 unverified MIT (permissive)
Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy 13 May 2023 iyerkrithika21/mesh2ssm_2023/model_autoencoder.py 9a8756778dd8234a ran · fixture could not drive it MIT (permissive)
AutoAD: Movie Description in Context 29 Mar 2023 Soldelli/MAD/baselines/VLG-Net/lib/modeling/model.py a010bc0f83e92123 ran fingerprinted MIT (permissive)
CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network 29 Mar 2023 RuyiLian/CheckerPose/checkerpose/model/pipeline.py a774849fdc6cb021 ran · our draft was wrong no licence file found · pointer only
Open-Vocabulary Affordance Detection in 3D Point Clouds 4 Mar 2023 Fsoft-AIC/Open-Vocabulary-Affordance-Detection-in-3D-Point-Clouds/models/openad_dgcnn.py 9019aa1bd21a7d63 unverified MIT (permissive)
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion 1 Dec 2022 ltwu6/cross-pcc/models/model2stage.py 9a8756778dd8234a ran · fixture could not drive it MIT (permissive)
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis 26 Nov 2022 pavlo-melnyk/tetrasphere/tetrasphere/models/utils.py e146f86f54b1a708 unverified MIT (permissive)
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields 17 Nov 2022 anthonysimeonov/relational_ndf/src/rndf_robot/model/layers_equi.py e09e2de9ccd4a1ee unverified MIT (permissive)
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks 29 Oct 2022 sidhikabalachandar/oavnn/model.py c7e5181ff9fc5cd1 ran fingerprinted no licence file found · pointer only
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis 28 Oct 2022 vinairesearch/selfsup_pcd/pretrain/models/dgcnn_utils.py 41b837a371ec4dfc unverified MIT (permissive)
Cross-modal Learning for Image-Guided Point Cloud Shape Completion 20 Sep 2022 diegovalsesia/XMFnet/encoder_dgcnn/dgcnn.py 9a8756778dd8234a ran · fixture could not drive it MIT (permissive)
Cross-modal Learning for Image-Guided Point Cloud Shape Completion 20 Sep 2022 diegovalsesia/XMFnet/decoder/dec_net.py 4afc8385ea7e18d6 unverified MIT (permissive)
SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection 16 Jul 2022 Hydragon516/SPSN/model.py abafb47846cac9c6 ran · fixture could not drive it MIT (permissive)
Efficient Human Pose Estimation via 3D Event Point Cloud 9 Jun 2022 masterhow/eventpointpose/models/DGCNN.py ed56c753ee0b0cf9 unverified MIT (permissive)
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing 28 Mar 2022 luost26/equivariant-orientedmp/models/cls/oriented_dgcnn.py d98fb5121c2ad8dd unverified MIT (permissive)
Is Geometry Enough for Matching in Visual Localization? 24 Mar 2022 dvl-tum/gomatch/gomatch/models/attention.py ef7de4f66e7a8839 unverified MIT (permissive)
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap 8 Mar 2022 Gorilla-Lab-SCUT/QS3/Models_Norm.py 51e61f45df52e4b2 unverified MIT (permissive)
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding 1 Mar 2022 mohamedafham/crosspoint/models/dgcnn.py 4869b05ab4c6b80d unverified no licence file found · pointer only
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration 23 Feb 2022 supersyq/rienet/utils.py 11f1fc28e78be11c unverified MIT (permissive)
Geometric Transformer for Fast and Robust Point Cloud Registration 14 Feb 2022 weitong8591/differentiable_ransac/model_cl.py 8caef130745ac47b unverified GPL-3.0 (copyleft) · pointer only
Benchmarking and Analyzing Point Cloud Classification under Corruptions 7 Feb 2022 jiawei-ren/modelnetc/PointWOLF/model.py 9a8756778dd8234a ran · fixture could not drive it Apache-2.0 (permissive)
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions 28 Jan 2022 dogyoonlee/RSMix/dgcnn_rsmix/model.py 9a8756778dd8234a ran · fixture could not drive it MIT (permissive)
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds 8 Nov 2021 fpthink/V2B/V2B_main/modules/completion_net.py 9a8756778dd8234a ran · fixture could not drive it MIT (permissive)
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration 14 Sep 2021 Jiang-HB/CEMNet/modules/commons.py fa955b8f5f90de05 unverified MIT (permissive)
CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing 25 Aug 2021 kimren227/CSGStumpNet/model.py 9019aa1bd21a7d63 unverified MIT (permissive)
Adaptive Graph Convolution for Point Cloud Analysis 18 Aug 2021 hrzhou2/adaptconv-master/sem_seg/models/blocks.py 8847accfbe77bbc6 ran · our draft was wrong no licence file found · pointer only
Vector Neurons: A General Framework for SO(3)-Equivariant Networks 25 Apr 2021 FlyingGiraffe/vnn-neural-implicits/im2mesh/layers_equi.py e09e2de9ccd4a1ee unverified MIT (permissive)
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding 30 Mar 2021 Gorilla-Lab-SCUT/AffordanceNet/models/dgcnn.py 9019aa1bd21a7d63 unverified MIT (permissive)
Robust Point Cloud Registration Framework Based on Deep Graph Matching 7 Mar 2021 zhileichen99/utopic/models/architecture.py 194ab488bb382dbb ran · our draft was wrong fingerprinted no licence file found · pointer only
Robust Point Cloud Registration Framework Based on Deep Graph Matching 7 Mar 2021 fukexue/RGM/models/Net_noais.py ed8b4f4d1101aff9 unverified no licence file found · pointer only
Progressive Correspondence Pruning by Consensus Learning 3 Jan 2021 weitong8591/ars_magsac/networks/clnet.py 98c6b55c0f2b83c0 unverified BSD-3-Clause (permissive)
Semantic Graph Based Place Recognition for 3D Point Clouds 26 Aug 2020 kxhit/SG_PR/dgcnn.py 0123cdd1a1578e5f unverified MIT (permissive)
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization 29 Jul 2020 Liumouliu/Deep_blind_PnP/model/ops.py f5dcd38523dc6217 unverified MIT (permissive)
G-TAD: Sub-Graph Localization for Temporal Action Detection 26 Nov 2019 Frostinassiky/gtad/gtad_lib/models.py 18b5852ceae36f61 unverified Apache-2.0 (permissive)
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions 15 May 2019 EricDai0/AdvGCGAN/models/dgcnn.py d4e1cb56cdef48af unverified MIT (permissive)
Dynamic Graph CNN for Learning on Point Clouds 24 Jan 2018 princeton-vl/SimpleView/dgcnn/pytorch/model.py 9a8756778dd8234a ran · fixture could not drive it BSD-3-Clause (permissive)
Dynamic Graph CNN for Learning on Point Clouds 24 Jan 2018 vinits5/learning3d/models/dgcnn.py 26b869462d7d37e6 ran · our draft was wrong MIT (permissive)
Dynamic Graph CNN for Learning on Point Clouds 24 Jan 2018 hansen7/NRS_3D/models/dgcnn_cls.py ffacb4286b9c5b79 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