'numpy as np' imported but unused:
2 import numpy as np'.utils_graph_processing.subgraph_isomorphism_edge_counts' imported but unused:
3 from .utils_graph_processing import subgraph_isomorphism_vertex_counts, subgraph_isomorphism_edge_counts'.utils_graph_processing.subgraph_isomorphism_vertex_counts' imported but unused:
3 from .utils_graph_processing import subgraph_isomorphism_vertex_counts, subgraph_isomorphism_edge_countsLine too long (104 > 79 characters):
3 from .utils_graph_processing import subgraph_isomorphism_vertex_counts, subgraph_isomorphism_edge_countsLine too long (109 > 79 characters):
9 #### Remove self loops and then assign the structural identifiers by computing subgraph isomorphisms ####Line too long (90 > 79 characters):
12 edge_index, edge_features = remove_self_loops(data.edge_index, data.edge_features)Line too long (91 > 79 characters):
25 identifiers = counts if identifiers is None else torch.cat((identifiers, counts),1)