Methods › Graphs › Graph Embeddings › SETSe
Strain Elevation Tension Spring embedding
SETSe
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
SETSe is a deterministic physics based graph embedding algorithm. It embeds weighted feature rich networks. It treats each edge as a spring and each node as a bead whose movement is constrained by the graph adjacency matrix so that the nodes move in parallel planes enforcing a minimum distance between neighboring nodes. The node features act as forces moving the nodes up and down. The network converges to the embedded state when the force produced by each node is equal and opposite to the sum of the forces exerted by its edges, creating a net force of 0.
SETSe has no conventional loss function and does not attempt to place similar nodes close to each other.
Papers archive 2025-07-28
1 shown of 1, 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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High Tension Lines: Predicting robustness of high-voltage power-grids to cascading failure using network embedding 27 May 2021 · 0 repositories · arXiv:2105.13224
Tasks archive 2025-07-28
4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Graph Embedding | 1 |
| Network Embedding | 1 |
| Time Series Analysis | 1 |
| Vocal Bursts Intensity Prediction | 1 |
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