- detect_contract.py
- input: original graph
- output: intermediate results
- training_method.py
- input: graph
- output:
graph_name(0).method.emb
embeddings(0 as original and 1 as intermediate)
- release_motif.py
- output:
graph_name1.method.emb
(1 as final)
- output:
- performance analysis.py
to do the task of network reconstruction - SME.py
- a wrapper file containing all the steps above
- LE
- Deepwalk
dim | walk_length | walks_node | window | workers |
---|---|---|---|---|
128 | 80 | 10 | 5 | 12 |
- node2vec
dim | walk_length | walks_node | window | workers | p | q |
---|---|---|---|---|---|---|
128 | 80 | 10 | 5 | 12 | 2 | 0.5 |
- LINE
- GAEs