Methods › Graphs › Graph Models › Graph Convolutional Networks
Graph Convolutional Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A Graph Convolutional Network, or GCN, is an approach for semi-supervised learning on graph-structured data. It is based on an efficient variant of convolutional neural networks which operate directly on graphs.
Image source: Semi-Supervised Classification with Graph Convolutional Networks
Papers archive 2025-07-28
30 shown of 388, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Link Scheduling using Graph Neural Networks 12 Sep 2021 · 1 repository · arXiv:2109.05536
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Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network 11 Sep 2021 · 0 repositories · arXiv:2109.05353
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ABCDE: Approximating Betweenness-Centrality ranking with progressive-DropEdge 6 Sep 2021 · 1 repository
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Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation 5 Sep 2021 · 0 repositories · arXiv:2109.02046
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Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification 4 Sep 2021 · 1 repository · arXiv:2109.01824
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Node Feature Kernels Increase Graph Convolutional Network Robustness 4 Sep 2021 · 1 repository · arXiv:2109.01785Syntology ran 0 of 3 samples · 3 unverified
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Neural News Recommendation with Collaborative News Encoding and Structural User Encoding 2 Sep 2021 · 1 repository · arXiv:2109.00750
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Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations 31 Aug 2021 · 0 repositories · arXiv:2109.00095
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Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights 27 Aug 2021 · 0 repositories · arXiv:2108.12473
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Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs 19 Aug 2021 · 1 repository · arXiv:2108.08841Syntology ran 4 of 7 samples · 3 unverified
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DGCN: Diversified Recommendation with Graph Convolutional Networks 16 Aug 2021 · 2 repositories · arXiv:2108.06952
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Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation 14 Aug 2021 · 0 repositories · arXiv:2108.06468
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Understanding Structural Vulnerability in Graph Convolutional Networks 13 Aug 2021 · 1 repository · arXiv:2108.06280Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
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Legislator Representation Learning with Social Context and Expert Knowledge 9 Aug 2021 · 1 repository · arXiv:2108.03881
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KGAP: Knowledge Graph Augmented Political Perspective Detection in News Media 9 Aug 2021 · 1 repository · arXiv:2108.03861Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
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LT-OCF: Learnable-Time ODE-based Collaborative Filtering 8 Aug 2021 · 2 repositories · arXiv:2108.06208Syntology ran 0 of 3 samples · 3 unverified
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Global Self-Attention as a Replacement for Graph Convolution 7 Aug 2021 · 3 repositories · arXiv:2108.03348Syntology ran 0 of 4 samples · 4 unverified
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Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning 5 Aug 2021 · 1 repository · arXiv:2108.02366
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Graph Neural Networks With Lifting-based Adaptive Graph Wavelets 3 Aug 2021 · 0 repositories · arXiv:2108.01660
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Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks 1 Aug 2021 · 1 repository
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Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis 1 Aug 2021 · 1 repository
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Relational Graph Neural Networks for Fraud Detection in a Super-App environment 29 Jul 2021 · 0 repositories · arXiv:2107.13673
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Multi-Scale Feature and Metric Learning for Relation Extraction 28 Jul 2021 · 0 repositories · arXiv:2107.13425
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Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection 28 Jul 2021 · 1 repository · arXiv:2107.13648
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Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification 27 Jul 2021 · 0 repositories · arXiv:2107.12838
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Graph Convolutional Network with Generalized Factorized Bilinear Aggregation 24 Jul 2021 · 0 repositories · arXiv:2107.11666
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A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction 21 Jul 2021 · 0 repositories · arXiv:2107.09923
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A Benchmark for Gait Recognition under Occlusion Collected by Multi-Kinect SDAS 19 Jul 2021 · 0 repositories · arXiv:2107.08990
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UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition 19 Jul 2021 · 1 repository · arXiv:2107.08580
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Graph Representation Learning for Road Type Classification 16 Jul 2021 · 1 repository · arXiv:2107.07791
Tasks archive 2025-07-28
20 shown of 325 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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