✓ File Writeback ✕ Property Writeback ✓ Direct Return ✓ Stream Return ✕ Stats
Overview
The Struc2Vec Walk is a biased random walk. This is one of the crucial componments of the Struc2Vec framework, where the walk is performed in a constructed multilayer weighted graph rather than the original graph. Please refer to the Struc2Vec algorithm for the details.
Syntax
- Command：
algo(random_walk_struc2vec) - Parameters:
Name |
Type |
Spec |
Default |
Optional |
Description |
|---|---|---|---|---|---|
| ids / uuids | []_id / []_uuid |
/ | / | Yes | ID/UUID of nodes to start random walks; start from all nodes if not set |
| walk_length | int | ≧1 | 1 |
Yes | Depth of each walk, i.e., the number of nodes to visit |
| walk_num | int | ≧1 | 1 |
Yes | Number of walks to perform for each specified node |
| k | int | [1, 10] | / | No | Number of layers to construct the multilayer weighted graph, which should not exceed the diameter of the original graph |
| stay_probability | float | (0,1] | / | No | The probability of walking in the current level |
| limit | int | ≧-1 | -1 |
Yes | Number of results to return, -1 to return all results |
Example
The example graph is as follows:
File Writeback
Spec |
Content |
Description |
|---|---|---|
| filename | _id,_id,... |
IDs of visited nodes |
algo(random_walk_struc2vec).params({
walk_length: 5,
walk_num: 1,
k: 4,
stay_probability: 0.8
}).write({
file:{
filename: 'walks'
}})
Results: File walks
J,G,I,G,
I,H,I,H,G,
H,G,H,I,H,
G,H,I,G,
F,G,H,I,H,
E,C,B,C,
D,C,E,F,G,
C,E,C,A,C,
B,A,D,E,
A,B,A,D,
Direct Return
| Alias Ordinal | Type | Description |
Columns |
|---|---|---|---|
| 0 | []perWalk | Array of UUIDs of visited nodes | [_uuid, _uuid, ...] |
algo(random_walk_struc2vec).params({
ids: ['J'],
walk_length: 6,
walk_num: 3,
k: 4,
stay_probability: 0.8
}) as walks
return walks
Results: walks
| [10, 6, 3, 6] |
| [10, 7, 6, 5, 6, 5] |
| [10, 7, 10, 7, 6, 7] |
Stream Return
| Alias Ordinal | Type | Description |
Columns |
|---|---|---|---|
| 0 | []perWalk | Array of UUIDs of visited nodes | [_uuid, _uuid, ...] |
algo(random_walk_struc2vec).params({
ids: ['J'],
walk_length: 6,
walk_num: 30,
k: 5,
stay_probability: 0.7
}).stream() as walks
where size(walks) == 6
return walks
Results: walks
| [10, 7, 6, 5, 3, 4] |
| [10, 7, 8, 7, 6, 5] |
| [10, 7, 6, 4, 6, 7] |