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GCN

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

GCN appears in the code Syntology harvested for 41 papers, as 52 distinct code bodies found in 52 places (a place is one code body under one paper). At least one of them ran in 35 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 GCN 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 40 of the 52 distinct code bodies named GCN; 12 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
40ran
12unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 28 of the 52 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

41 papers shown of 41, newest first; 52 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 6 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
Net-Ev <sup>2</sup> : A Generative Simulator for Network Event Evolution added by Syntology 2026-06 (from id) Guangyu4/Net-Ev-2/model/denoiser/graphunet.py 62946b23619fce10 unverified no licence file found · pointer only
GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables added by Syntology 2026-03 (from id) decisionintelligence/GCGNet/ts_benchmark/baselines/GCGNet/models/gcgnet_model.py 39a5436e3ee292c2 ran MIT (permissive)
Learning from Complexity: Exploring Dynamic Sample Pruning of Spatio-Temporal Training added by Syntology 2026-02 (from id) HKUDS/OpenCity/model/OpenCity/OpenCity.py e7c52aa258e7a375 ran · metamorphic tier: deterministic MIT (permissive)
To See Far, Look Close: Evolutionary Forecasting for Long-term Time Series added by Syntology 2026-01 (from id) thuml/Time-Series-Library/layers/TimeFilter_layers.py 34b6b2e28760f4dd unverified MIT (permissive)
Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction added by Syntology 2026-01 (from id) wayc04/ICGNN/models/ICGNN.py f2d0c1a5222074f3 ran no licence file found · pointer only
Neural Algorithmic Reasoning for Approximate k-Coloring with Recursive Warm Starts added by Syntology 2026-01 (from id) Weber-GeoML/ColoringGNNs/full_gcn.py d09c53ccad3af850 ran · metamorphic tier: deterministic no licence file found · pointer only
arXiv:2507.04428 2025-07 (from id) seucoin/armr2/code/net_mynet.py 26ddda9bcd436585 ran no licence file found · pointer only
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling 23 Mar 2025 hedongxiao-tju/E2Neg/networks.py 9d155ed296a822ef ran · metamorphic tier: deterministic MIT (permissive)
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning 16 Jan 2025 KEAML-JLU/MI-DELIGHT/model.py 07c6e57b53549592 ran no licence file found · pointer only
UrbanDiT: A Foundation Model for Open-World Urban Spatio-Temporal Learning 19 Nov 2024 YuanYuan98/UrbanDiT/src/Embed.py 85748648fb97ed30 ran · metamorphic tier: deterministic MIT (permissive)
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning 17 Oct 2024 ins1stenc3/gder/models/GNN_Prot.py a5dc35fe4c7efb79 ran no licence file found · pointer only
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction 4 Oct 2024 sjduan/graphcroc/GraphCroc/UNET.py 9740f77d46c19ea2 ran · metamorphic tier: deterministic MIT (permissive)
Progressively Modality Freezing for Multi-Modal Entity Alignment 23 Jul 2024 ninibymilk/PMF-MMEA/model/PMF.py 55399663a530eb02 ran MIT (permissive)
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning 6 May 2024 WeilinChen507/targeted_interference/src/targetedModel_DoubleBSpline.py fcebe99277bfcf79 ran no licence file found · pointer only
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly 29 Feb 2024 iit-pavis/diffassemble/puzzle_diff/model/spatial_diffusion.py 853fb3e8375b1a22 ran no licence file found · pointer only
Generative Semi-supervised Graph Anomaly Detection 19 Feb 2024 mala-lab/ggad/model.py 02c6a5361e2291b2 ran · metamorphic tier: invariant no licence file found · pointer only
Rethinking Propagation for Unsupervised Graph Domain Adaptation 8 Feb 2024 yuntaodu/ASN/GCN_model.py 45631a7bbd6520e3 ran · metamorphic tier: deterministic no licence file found · pointer only
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction 31 Jan 2024 vincent40416/Skill-Demand-Supply-Joint-Prediction/model/model.py dc88208677870e3b unverified MIT (permissive)
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning 2 Jan 2024 riemanngraph/motifrgc/models.py edd81c40e27d23fc ran MIT (permissive)
ManyDG: Many-domain Generalization for Healthcare Applications 21 Jan 2023 ycq091044/manydg/model.py c7c1528707c4390d ran · metamorphic tier: deterministic no licence file found · pointer only
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction 31 Jul 2022 mediabrain-sjtu/spgsn/utils/model.py 3a3dcd4a64e7301e unverified MIT (permissive)
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning 29 Apr 2022 ZhuYun97/RoSA/model.py 3f0d2666f360c676 unverified no licence file found · pointer only
Learning Optical Flow with Adaptive Graph Reasoning 8 Feb 2022 la30/agflow/core/raft_agflow.py 3579f23825ccf5e7 ran no licence file found · pointer only
Garment4D: Garment Reconstruction from Point Cloud Sequences 8 Dec 2021 hongfz16/garment4d/modules/pygcn/models.py 894337f9c48ffee7 ran · metamorphic tier: invariant MIT (permissive)
Uncovering Main Causalities for Long-tailed Information Extraction 11 Sep 2021 HeyyyyyyG/CFIE/model/gcn.py cea456feff8df57e unverified GPL-3.0 (copyleft) · pointer only
Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering 19 Jun 2021 ahjeongseo/MASN-pytorch/model/masn.py b86d984ed27f78a4 ran · metamorphic tier: deterministic MIT (permissive)
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning 16 Jun 2021 hayeonlee/help/help.py 71fc6adbc8a9e344 ran MIT (permissive)
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering 25 May 2021 wwxu21/AMR-SG/RoBERTa_finetune/transformers_amr/modeling_bert.py fc31b6dfd485b025 ran no licence file found · pointer only
Enhanced Boundary Learning for Glass-like Object Segmentation 29 Mar 2021 hehao13/EBLNet/network/nn/contour_point_gcn.py b934d7ff5b5f6a1b ran · metamorphic tier: deterministic no licence file found · pointer only
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation 26 Mar 2021 NUST-Machine-Intelligence-Laboratory/nsrom/classification/models/global_reasoning_unit.py 13a9404d25c1e993 ran no licence file found · pointer only
Structure-Aware Face Clustering on a Large-Scale Graph with $\bf{10^{7}}$ Nodes 24 Mar 2021 sstzal/STAR-FC/src/models/gcn.py 6ced2555b3d088d4 ran · metamorphic tier: well formed no licence file found · pointer only
Learning a Proposal Classifier for Multiple Object Tracking 14 Mar 2021 daip13/LPC_MOT/learnable_proposal_classifier/gcn_based_purity_network/dsgcn/models/dsgcn.py 748441f5b0d1ba43 ran · metamorphic tier: deterministic MIT (permissive)
Contrastive Neural Architecture Search with Neural Architecture Comparators 8 Mar 2021 chenyaofo/CTNAS/ctnas/core/model/nac.py 0174c3008a632396 ran BSD-3-Clause (permissive)
Learning Graph Embeddings for Compositional Zero-shot Learning 3 Feb 2021 ExplainableML/czsl/models/graph_method.py a4c3261e9df16697 ran · metamorphic tier: deterministic GPL-3.0 (copyleft) · pointer only
Out-of-Town Recommendation with Travel Intention Modeling 29 Jan 2021 xhran2010/TrainOR_AAAI21/Pytorch/model.py 06566e2ba6b870c8 ran · metamorphic tier: invariant no licence file found · pointer only
3D Shape Reconstruction from Vision and Touch 7 Jul 2020 facebookresearch/3D-Vision-and-Touch/vision_charts/models.py dadbe75f331a2b52 ran licence not identified · pointer only
Contrastive Multi-View Representation Learning on Graphs 10 Jun 2020 timothewt/AdvancedGraphClustering/src/algorithms/deep/MVGRL.py 8dc21381dd6d399e ran MIT (permissive)
Learning to Simulate Complex Physics with Graph Networks 21 Feb 2020 m-ulmestrand/gcn-collisions/physics_gnn.py 6ddd7d872c5465bd ran Apache-2.0 (permissive)
Deep Graph Infomax 27 Sep 2018 wwwyyun/HDGI/models/dgi.py 5fd25f0307b96798 ran · metamorphic tier: deterministic MIT (permissive)
Deep Graph Infomax 27 Sep 2018 zpeng27/GMI/models/gmi.py 1efc738df1839678 ran MIT (permissive)
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 LouisDumont/GCN---re-implementation/gcn.py c58cace7f8be77e2 ran · metamorphic tier: deterministic no licence file found · pointer only
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 mahendrathapa/graph-convolution-network/src/model/gcn.py 7ad60a09b8387891 ran no licence file found · pointer only
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 HoganZhang/pygcn_python3/pygcn/models.py c6a324398743dc52 ran · metamorphic tier: invariant MIT (permissive)
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 toinesayan/node-classification-and-label-dependencies/models/gcn.py 68f1d06e5c89108e ran · metamorphic tier: invariant no licence file found · pointer only
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 yCobanoglu/infinite-width-gnns/gnn/models/node_classification/gcn.py b28cd994482b4d0a ran · metamorphic tier: invariant no licence file found · pointer only
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 1075225782/GCN/GCN/gcnpy/models.py 9ae4971fbc72a790 unverified no licence file found · pointer only
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 bepping/non-oversmoothing-gcns/src/GCN_methods/models.py 33c9884171e760fd unverified MIT (permissive)
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 hazdzz/GCN/model/models.py c8a2116bdd54211d unverified LGPL-2.1 (copyleft) · pointer only
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 HamzaGbada/GCN-Numpy/core/GCN_scratch/model.py 720119c339f1a7f9 unverified MIT (permissive)
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 basiralab/RG-Select/models_gcn.py 0a27b9c97ef96c4c unverified no licence file found · pointer only
Revisiting Semi-Supervised Learning with Graph Embeddings 29 Mar 2016 meliketoy/graph-cnn.pytorch/models.py f224b63a7a7463d9 ran · metamorphic tier: deterministic MIT (permissive)
Revisiting Semi-Supervised Learning with Graph Embeddings 29 Mar 2016 asarigun/nfc-gcn/models.py 0da98822521f5a66 unverified 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".

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