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GraphConvolution

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

GraphConvolution appears in the code Syntology harvested for 36 papers, as 46 distinct code bodies found in 46 places (a place is one code body under one paper). At least one of them ran in 26 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 GraphConvolution 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 32 of the 46 distinct code bodies named GraphConvolution; 14 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
32ran
14unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 23 of the 46 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

36 papers shown of 36, newest first; 46 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; 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
MultiST: A Cross-Attention-Based Multimodal Model for Spatial Transcriptomics added by Syntology 2026-01 (from id) LabJunBMI/MultiST/MultiST/MultiST/MultiST_model.py 07eb7927f6d29a76 ran no licence file found · pointer only
arXiv:2507.04428 2025-07 (from id) seucoin/armr2/code/net_mynet.py 9e297815b9c669b9 ran no licence file found · pointer only
M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction 31 May 2025 fchest/M3ANet/M3ANET.py e84e06c700e083fc unverified no licence file found · pointer only
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer 14 May 2025 DQYZHWK/TransKT/model/TransKT.py a600593f88af2876 ran · metamorphic tier: deterministic MIT (permissive)
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning 6 May 2024 WeilinChen507/targeted_interference/src/targetedModel_DoubleBSpline.py 1753ed8221bbdbc4 ran no licence file found · pointer only
GINopic: Topic Modeling with Graph Isomorphism Network 2 Apr 2024 valdersoul/GraphBTM/layers.py f518c552a0f66557 unverified no licence file found · pointer only
Rethinking Propagation for Unsupervised Graph Domain Adaptation 8 Feb 2024 yuntaodu/ASN/GCN_model.py 3c5a5e59b0c84eeb ran no licence file found · pointer only
Language Semantic Graph Guided Data-Efficient Learning 15 Nov 2023 bit-da/lsg/lsg_training/models/resnet_gcn.py 5dba6bda6afac4ac ran MIT (permissive)
ManyDG: Many-domain Generalization for Healthcare Applications 21 Jan 2023 ycq091044/manydg/model.py d54315a68780fbba ran · metamorphic tier: deterministic no licence file found · pointer only
Graph Few-shot Learning with Task-specific Structures 21 Oct 2022 songw-sw/glitter/base_model_influence.py f7247a1a0ef21d0e ran · metamorphic tier: invariant no licence file found · pointer only
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems 8 Oct 2022 dimesteam/dimes/MIS/solvers/intel_treesearch/NPHard/gcn/models.py 7a01d3d524ba4bbe unverified MIT (permissive)
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction 31 Jul 2022 mediabrain-sjtu/spgsn/utils/model.py cea38175044bfec1 ran · metamorphic tier: deterministic MIT (permissive)
Video Graph Transformer for Video Question Answering 12 Jul 2022 sail-sg/VGT/model/vqa_model.py 889a03d6a437ba1c ran Apache-2.0 (permissive)
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction 30 Mar 2022 705062791/PGBIG/model/stage_4.py 25690753584ddd6d unverified no licence file found · pointer only
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks 22 Feb 2022 networkslab/baggraph/mil_benchmark/models_all.py 032e0ff1009bd8fa ran · metamorphic tier: invariant MIT (permissive)
Garment4D: Garment Reconstruction from Point Cloud Sequences 8 Dec 2021 hongfz16/garment4d/modules/pygcn/models.py 67f1530eae8d6456 ran · metamorphic tier: invariant MIT (permissive)
Transformer-based Dual Relation Graph for Multi-label Image Recognition 10 Oct 2021 iCVTEAM/TDRG/models/TDRG.py 4af7cba6f2b6a00b ran Apache-2.0 (permissive)
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction 16 Aug 2021 Droliven/MSRGCN/nets/msrgcn.py fa90576ed9f74efe ran no licence file found · pointer only
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation 14 Jul 2021 hujingwen6666/MMGCN/model_mm.py 9a194e06ad476d96 unverified no licence file found · pointer only
Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering 19 Jun 2021 ahjeongseo/MASN-pytorch/model/masn.py 388325a7a33168a2 ran MIT (permissive)
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning 16 Jun 2021 hayeonlee/help/help.py c39b18210d6af850 ran MIT (permissive)
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare 16 May 2021 LuChang-CS/CGL/models/model.py 64da4cb6887f7202 ran · metamorphic tier: deterministic MIT (permissive)
SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction 4 Apr 2021 zhanwei-z/g2ltraj/baseline/sgcn/model.py 6c9860a5062c894a unverified no licence file found · pointer only
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation 23 Mar 2021 TPCD/LifelongReID/lreid/models/metagraph_fd.py 2c4b8cb981405ca9 ran · metamorphic tier: deterministic MIT (permissive)
Contrastive Neural Architecture Search with Neural Architecture Comparators 8 Mar 2021 chenyaofo/CTNAS/ctnas/core/model/nac.py 884806e1f859a018 ran BSD-3-Clause (permissive)
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application 7 Feb 2021 utkd/cogcn/cogcn/model.py 89674eb5d8c02447 ran · metamorphic tier: invariant MIT (permissive)
Learning Graph Embeddings for Compositional Zero-shot Learning 3 Feb 2021 ExplainableML/czsl/models/graph_method.py e0a33580edfb2903 unverified GPL-3.0 (copyleft) · pointer only
Generative Model-Enhanced Human Motion Prediction 5 Oct 2020 bouracha/OoDMotion/utils/vgae.py 93911462a7ea3c82 ran · metamorphic tier: deterministic MIT (permissive)
Simple and Deep Graph Convolutional Networks 4 Jul 2020 chennnM/GCNII/model.py d25069830e57132b ran · metamorphic tier: deterministic no licence file found · pointer only
Simple and Deep Graph Convolutional Networks 4 Jul 2020 tyxxzjpdez/GCNII-DropGroups/model.py a34e675fad092d7b unverified no licence file found · pointer only
Dynamic Language Binding in Relational Visual Reasoning 30 Apr 2020 thaolmk54/LOGNet-VQA/exp_clevr/model/LOGUnits.py bd5196cd30adaf0f ran MIT (permissive)
Automated Relational Meta-learning 3 Jan 2020 huaxiuyao/ARML/metadag.py 714dedcd23c64ee1 unverified no licence file found · pointer only
DARTS: Differentiable Architecture Search 24 Jun 2018 guoyongcs/NATv2/search_model.py 46d722214869fb2f ran · metamorphic tier: deterministic no licence file found · pointer only
Modeling Relational Data with Graph Convolutional Networks 17 Mar 2017 tkipf/gae/gae/layers.py c97818a941d8a0b9 unverified MIT (permissive)
Modeling Relational Data with Graph Convolutional Networks 17 Mar 2017 masakicktashiro/rgcn_pytorch_implementation/layers.py 8d26f1fa141a632b unverified no licence file found · pointer only
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 mahsa91/RA-GCN/code/layer.py 834a39735e8891ef ran · metamorphic tier: deterministic GPL-3.0 (copyleft) · pointer only
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 negarhdr/PGCN/pgcn/layers.py 2babbec8f9e467b8 ran · metamorphic tier: deterministic MIT (permissive)
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 kiharalab/gnn_pocket/model/layers.py 6a8bc2a8609d02b6 ran GPL-3.0 (copyleft) · pointer only
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 nieci2024/pyglcn/glcn/layers.py d42e565640a66336 ran · metamorphic tier: deterministic MIT (permissive)
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 mahendrathapa/graph-convolution-network/src/model/gcn.py da1862d885b56f90 ran no licence file found · pointer only
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 HoganZhang/pygcn_python3/pygcn/models.py 87d10d793f9fe9bc ran · metamorphic tier: invariant MIT (permissive)
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 basiralab/RG-Select/models_gcn.py 2c8ae246b26bbe8a ran · metamorphic tier: invariant no licence file found · pointer only
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 abi-kothapalli/minimumdominatingsets/gcn/layers.py 0613cab4515d9b95 unverified MIT (permissive)
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 jiangboahu/glcn-tf/glcn/layers.py 143da86eef0cba06 unverified no licence file found · pointer only
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering 30 Jun 2016 ajbisberg/gcn/gcn/layers.py d033d441612bfa4b unverified MIT (permissive)
Revisiting Semi-Supervised Learning with Graph Embeddings 29 Mar 2016 meliketoy/graph-cnn.pytorch/models.py ff277e8dd110b334 ran 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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