| import duckdb |
| import torch |
|
|
| from node2vec_model import load_graph |
|
|
| from paths import DB_PATH |
|
|
| data = load_graph() |
| print(data) |
| print("validate():", data.validate()) |
| print("x rows == num_nodes:", data.x.size(0) == data.num_nodes) |
|
|
| con = duckdb.connect(DB_PATH, read_only=True) |
| for i in (0, 9247, 18493): |
| active = [data.feature_names[j] for j in data.x[i].nonzero().flatten().tolist()] |
| row = con.execute("""SELECT Study, Analytics, species, factor1_org, factor2_org, |
| color_group, color_group_upper1, |
| split_part(trim(factor1,'()'),'|',2), |
| split_part(trim(factor2,'()'),'|',2) |
| FROM nodes_ML WHERE id = ?""", [data.node_id[i]]).fetchone() |
| print(f"\nnode {i} = {data.node_id[i]}") |
| print(f" one-hot : {active}") |
| print(f" table : {list(row)}") |
|
|
