Methods › Graphs › Graph Embeddings › DAGNN
Directed Acyclic Graph Neural Network
DAGNN
Introduced by Veronika Thost et al. in Directed Acyclic Graph Neural Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A GNN for dags, which injects their topological order as an inductive bias via asynchronous message passing.
Papers archive 2025-07-28
6 shown of 6, 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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Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework 11 Jan 2023 · 0 repositories · arXiv:2301.04318
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A Scalable Deep Reinforcement Learning Model for Online Scheduling Coflows of Multi-Stage Jobs for High Performance Computing 21 Dec 2021 · 0 repositories · arXiv:2112.11055
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Stabilized Self-training with Negative Sampling on Few-labeled Graph Data 29 Sep 2021 · 0 repositories
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Directed Acyclic Graph Neural Networks 20 Jan 2021 · 1 repository · arXiv:2101.07965
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Effective Stabilized Self-Training on Few-Labeled Graph Data 7 Oct 2019 · 1 repository · arXiv:1910.02684Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
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Learning Scheduling Algorithms for Data Processing Clusters 3 Oct 2018 · 2 repositories · arXiv:1810.01963Syntology ran 0 of 4 samples · 4 unverified
Tasks archive 2025-07-28
10 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