Description
Hello!
I would like to try to apply this algorithm to the user user weight graph to represent each user node by vector. At present, I use the three column saving method, < user_ node1 user_ node2 weight_ float> .However, the current display prompt is as follows:
Input:
0 11 0.8750
0 29 0.7170
0 61 0.6480
0 76 1.0000
0 79 1.9340
0 91 0.3680
0 92 1.0000
File "D:\Anaconda3\lib\site-packages\networkx\readwrite\edgelist.py", line 277, in parse_edgelist
edgedata = dict(literal_eval(' '.join(d)))
TypeError: 'float' object is not iterable
File "E:/node2vec04/node2vec/src/main.py", line 91, in read_graph
G = nx.read_edgelist(args.input, nodetype=int, create_using=nx.DiGraph())
File "<D:\Anaconda3\lib\site-packages\decorator.py:decorator-gen-584>", line 2, in read_edgelist
File "D:\Anaconda3\lib\site-packages\networkx\utils\decorators.py", line 240, in _open_file
result = func_to_be_decorated(*new_args, **kwargs)
File "D:\Anaconda3\lib\site-packages\networkx\readwrite\edgelist.py", line 369, in read_edgelist
data=data)
File "D:\Anaconda3\lib\site-packages\networkx\readwrite\edgelist.py", line 280, in parse_edgelist
"Failed to convert edge data (%s) to dictionary." % (d))
TypeError: Failed to convert edge data (['0.8750']) to dictionary.
Thank you very much in advance.