Datasets:

ACDRepo
/

quiver_mutation_equivalence

Modalities:

Formats:

Size:

ArXiv:

Libraries:

License:

Dataset card Data Studio Files Files and versions

ACDRepo commited on Aug 9, 2025

Commit

cc77a09

·

verified ·

1 Parent(s): 801c461

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -14,7 +14,7 @@ problem in this area is finding an algorithm that determines whether two quivers
 equivalent (one can traverse from one quiver to another by applying mutations). Currently,
 such algorithms only exist for special cases (including types \\(A\\) [1], \\(D\\) [2],
 and \\(\tilde{D}\\) [3]). To our knowledge, the remaining classes in this dataset
-(\\(E\\), \\(DE\\), \\(BE\\), and \\(B$\\) lack characterizations. Recent work has explored
 whether deep learning models can learn to correctly predict if two quivers are mutation equivalent
 [4]. [5] utilized a subset of this dataset to re-discover known characterization theorems.

 equivalent (one can traverse from one quiver to another by applying mutations). Currently,
 such algorithms only exist for special cases (including types \\(A\\) [1], \\(D\\) [2],
 and \\(\tilde{D}\\) [3]). To our knowledge, the remaining classes in this dataset
+( \\( E\\), \\(DE\\), \\(BE\\), and \\(B\\)) lack characterizations. Recent work has explored
 whether deep learning models can learn to correctly predict if two quivers are mutation equivalent
 [4]. [5] utilized a subset of this dataset to re-discover known characterization theorems.