Methods › Graphs › Graph Models › RGCN
Relational Graph Convolution Network
RGCN
Introduced by Michael Schlichtkrull et al. in Modeling Relational Data with Graph Convolutional Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
An RGCN, or Relational Graph Convolution Network, is a an application of the GCN framework to modeling relational data, specifically to link prediction and entity classification tasks.
See here for an in-depth explanation of RGCNs by DGL.
Papers archive 2025-07-28
22 shown of 22, 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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Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling 17 Sep 2024 · 0 repositories · arXiv:2409.11283
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Relational Graph Convolutional Networks for Sentiment Analysis 16 Apr 2024 · 0 repositories · arXiv:2404.13079
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GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer 7 Oct 2023 · 0 repositories · arXiv:2310.04889
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Message Intercommunication for Inductive Relation Reasoning 23 May 2023 · 0 repositories · arXiv:2305.14074
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Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions 8 Feb 2023 · 1 repository · arXiv:2302.03950
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Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures 16 Jan 2023 · 0 repositories · arXiv:2301.06284
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MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark 3 Jan 2023 · 1 repository · arXiv:2301.01123
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Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition 11 Dec 2022 · 1 repository · arXiv:2212.05581
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Mitigating Relational Bias on Knowledge Graphs 26 Nov 2022 · 0 repositories · arXiv:2211.14489
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SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning 11 Jul 2022 · 2 repositories · arXiv:2207.04606Syntology ran 4 of 6 samples · 2 unverified
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ComDensE : Combined Dense Embedding of Relation-aware and Common Features for Knowledge Graph Completion 29 Jun 2022 · 1 repository · arXiv:2206.14925
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Ethereum Fraud Detection with Heterogeneous Graph Neural Networks 23 Mar 2022 · 0 repositories · arXiv:2203.12363
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Relational Graph Convolutional Networks: A Closer Look 21 Jul 2021 · 1 repository · arXiv:2107.10015
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Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules 4 Jul 2021 · 1 repository · arXiv:2107.06773
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Medical Entity Disambiguation Using Graph Neural Networks 3 Apr 2021 · 0 repositories · arXiv:2104.01488
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Detecting Hostile Posts using Relational Graph Convolutional Network 10 Jan 2021 · 0 repositories · arXiv:2101.03485
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Modeling Global Semantics for Question Answering over Knowledge Bases 5 Jan 2021 · 0 repositories · arXiv:2101.01510
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Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing 20 Jul 2020 · 1 repository · arXiv:2007.10261
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Evaluating Logical Generalization in Graph Neural Networks 14 Mar 2020 · 1 repository · arXiv:2003.06560
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How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos 2 Dec 2018 · 0 repositories · arXiv:1812.00344
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Modeling polypharmacy side effects with graph convolutional networks 2 Feb 2018 · 1 repository · arXiv:1802.00543
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Modeling Relational Data with Graph Convolutional Networks 17 Mar 2017 · 27 repositories · arXiv:1703.06103Syntology ran 10 of 32 samples · 22 unverified · 15 pointer-only (licence)
Tasks archive 2025-07-28
20 shown of 54 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