GroupOrder int32 641 767 | GroupIndex int32 1 1.39k | AdjMatrixNonZerEnt large_stringlengths 7.47k 58.9k | EdgeFeatures large_stringclasses 131
values | MinNumOfGens int16 1 6 | IsAbelian bool 2
classes | IsNilpotent bool 2
classes | IsSimple bool 2
classes | IsPerfect bool 2
classes | IsSolvable bool 2
classes | IsMonolithic bool 2
classes | IsCyclic bool 2
classes |
|---|---|---|---|---|---|---|---|---|---|---|---|
641 | 1 | [[0, 1], [1, 2], [2, 3], [3, 4], [4, 5], [5, 6], [6, 7], [7, 8], [8, 9], [9, 10], [10, 11], [11, 12], [12, 13], [13, 14], [14, 15], [15, 16], [16, 17], [17, 18], [18, 19], [19, 20], [20, 21], [21, 22], [22, 23], [23, 24], [24, 25], [25, 26], [26, 27], [27, 28], [28, 29], [29, 30], [30, 31], [31, 32], [32, 33], [33, 34]... | [[1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1],... | 1 | true | true | true | false | true | true | true |
642 | 1 | [[0, 1], [0, 2], [0, 3], [1, 0], [1, 4], [1, 5], [2, 4], [2, 6], [2, 7], [3, 7], [3, 8], [3, 11], [4, 2], [4, 9], [4, 10], [5, 8], [5, 10], [5, 11], [6, 9], [6, 12], [6, 13], [7, 13], [7, 14], [7, 17], [8, 0], [8, 5], [8, 14], [9, 6], [9, 15], [9, 16], [10, 14], [10, 16], [10, 17], [11, 1], [11, 3], [11, 17], [12, 15],... | [[1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], ... | 2 | false | false | false | false | true | false | false |
642 | 2 | [[0, 1], [0, 2], [0, 3], [1, 0], [1, 4], [1, 5], [2, 4], [2, 6], [2, 7], [3, 7], [3, 8], [3, 635], [4, 2], [4, 9], [4, 10], [5, 10], [5, 11], [5, 632], [6, 0], [6, 9], [6, 12], [7, 12], [7, 13], [7, 639], [8, 13], [8, 14], [8, 629], [9, 1], [9, 6], [9, 15], [10, 15], [10, 16], [10, 637], [11, 16], [11, 17], [11, 626], ... | [[1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], ... | 2 | false | false | false | false | true | false | false |
642 | 3 | [[0, 1], [0, 2], [0, 3], [1, 0], [1, 4], [1, 5], [2, 6], [2, 7], [2, 9], [3, 7], [3, 8], [3, 635], [4, 6], [4, 9], [4, 10], [5, 10], [5, 11], [5, 632], [6, 0], [6, 4], [6, 12], [7, 12], [7, 13], [7, 641], [8, 13], [8, 14], [8, 629], [9, 1], [9, 2], [9, 15], [10, 15], [10, 16], [10, 640], [11, 16], [11, 17], [11, 626], ... | [[1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], ... | 2 | false | false | false | false | true | false | false |
642 | 4 | [[0, 1], [0, 2], [0, 3], [1, 0], [1, 4], [1, 5], [2, 4], [2, 6], [2, 7], [3, 5], [3, 7], [3, 8], [4, 2], [4, 9], [4, 10], [5, 3], [5, 10], [5, 11], [6, 0], [6, 9], [6, 12], [7, 10], [7, 12], [7, 13], [8, 11], [8, 13], [8, 14], [9, 1], [9, 6], [9, 15], [10, 7], [10, 15], [10, 16], [11, 8], [11, 16], [11, 17], [12, 3], [... | [[1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0], ... | 1 | true | true | false | false | true | false | true |
643 | 1 | "[[0, 1], [1, 2], [2, 3], [3, 4], [4, 5], [5, 6], [6, 7], [7, 8], [8, 9], [9, 10], [10, 11], [11, 12(...TRUNCATED) | "[[1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1], [1](...TRUNCATED) | 1 | true | true | true | false | true | true | true |
644 | 1 | "[[0, 1], [0, 2], [0, 3], [0, 4], [1, 3], [1, 5], [1, 6], [1, 7], [2, 5], [2, 8], [2, 9], [2, 10], [(...TRUNCATED) | "[[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], (...TRUNCATED) | 2 | false | false | false | false | true | false | false |
644 | 2 | "[[0, 1], [0, 2], [0, 3], [0, 4], [1, 3], [1, 5], [1, 6], [1, 7], [2, 5], [2, 8], [2, 9], [2, 10], [(...TRUNCATED) | "[[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], (...TRUNCATED) | 2 | false | false | false | false | true | false | false |
644 | 3 | "[[0, 1], [0, 2], [0, 3], [0, 4], [1, 2], [1, 5], [1, 6], [1, 7], [2, 0], [2, 5], [2, 8], [2, 9], [3(...TRUNCATED) | "[[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], (...TRUNCATED) | 2 | false | false | false | false | true | false | false |
644 | 4 | "[[0, 1], [0, 2], [0, 3], [0, 4], [1, 4], [1, 5], [1, 6], [1, 7], [2, 5], [2, 8], [2, 9], [2, 10], [(...TRUNCATED) | "[[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], (...TRUNCATED) | 1 | true | true | false | false | true | false | true |
Cayley Graphs — orders 641–767
This dataset contains Cayley graphs of finite groups: one row per group, covering groups whose order is between 641 and 767. Each graph is the Cayley graph built from the group's minimal generating set (see Provenance below).
- Rows (groups): 6,160
- Group orders covered: 641–767 (127 distinct orders)
- Task: binary graph classification (default label:
IsMonolithic).
About the CayleyNet collection
This dataset is part of a census of 131,406 Cayley graphs covering every finite group of order at most 767 (except order 512), built to study how finite-group structure is reflected in the network geometry of Cayley graphs. Each group is recorded with exact algebraic property labels alongside a broad collection of graph, cycle, distance, and spectral statistics. The census provides benchmarks for predicting group properties directly from graph data — comparing classical models, an MLP, and graph neural networks (GIN/GCN) — and contributes new OEIS sequences for monolithic groups and for groups generated by at most 3, 4, and 5 elements.
Code: https://github.com/Engrima18/CayleyNet
Columns
| Column | Type | Description |
|---|---|---|
GroupOrder |
int32 |
Order of the finite group (first entry of the GAP SmallGroup id). |
GroupIndex |
int32 |
Index of the group among all groups of that order (second entry of the GAP SmallGroup id). |
AdjMatrixNonZerEnt |
large_string |
Directed edge list of the Cayley graph as a JSON-style nested list [[src, dst], ...]; nodes are 0-indexed group elements. |
EdgeFeatures |
large_string |
One-hot generator matrix of shape [num_edges, num_generators]; row e indicates which generator produced edge e. |
MinNumOfGens |
int16 |
Size of a minimal generating set of the group. |
IsAbelian |
bool |
Whether the group is abelian. |
IsNilpotent |
bool |
Whether the group is nilpotent. |
IsSimple |
bool |
Whether the group is simple. |
IsPerfect |
bool |
Whether the group is perfect (G = [G, G]). |
IsSolvable |
bool |
Whether the group is solvable. |
IsMonolithic |
bool |
Whether the group is monolithic, i.e. has a unique minimal normal subgroup. Primary classification label. |
IsCyclic |
bool |
Whether the group is cyclic. |
Group-property / label balance
| Column | # True | % True |
|---|---|---|
IsAbelian |
257 | 4.17% |
IsNilpotent |
1,227 | 19.92% |
IsSimple |
21 | 0.34% |
IsPerfect |
2 | 0.03% |
IsSolvable |
6,127 | 99.46% |
IsMonolithic |
179 | 2.91% |
IsCyclic |
127 | 2.06% |
Numeric column statistics
| Column | Min | Mean | Max | Nulls |
|---|---|---|---|---|
GroupOrder |
641 | 697.3 | 767 | 0 |
GroupIndex |
1 | 422.6 | 1,387 | 0 |
MinNumOfGens |
1 | 2.694 | 6 | 0 |
NumEdges |
641 | 4,448 | 5,040 | 0 |
Parsing the list-valued columns
AdjMatrixNonZerEnt and EdgeFeatures are stored as strings holding a JSON-style nested list. Decode them with:
import ast
edges = ast.literal_eval(row["AdjMatrixNonZerEnt"]) # [[src, dst], ...]
edge_feats = ast.literal_eval(row["EdgeFeatures"]) # one-hot [E, n_gens]
Provenance
- Generated with GAP / SageMath and NetworkX (
scripts/generate_data.py). - Distributed as typed Parquet: the source
Idis split intoGroupOrderandGroupIndex, and integer statistics are stored as nullable integers.
Usage
from datasets import load_dataset
ds = load_dataset("Enrico18/cayley-graphs-641-to-767", split="train")
print(ds[0])
License
MIT — © 2025 Enrico Grimaldi.
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