benedekrozemberczki / splitter Goto Github PK
View Code? Open in Web Editor NEWA Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
License: GNU General Public License v3.0
splitter's Issues
AttributeError: module 'networkx' has no attribute 'selfloop_edges'
Hello, I followed the instruction to install all the required python packages but when I ran 'python3 src/main.py', I got the following error. Could you please let me know how I can fix it? Thank you!
Traceback (most recent call last):
File "src/main.py", line 24, in
main()
File "src/main.py", line 17, in main
graph = graph_reader(args.edge_path)
File "/Users/machunyu/KoslickiLab/Splitter/src/utils.py", line 26, in graph_reader
graph.remove_edges_from(nx.selfloop_edges(graph))
AttributeError: module 'networkx' has no attribute 'selfloop_edges'
an error in walker maybe?
I dont know much about this work in details. however, while implementing i am running into sample larger than population. I think in src/walker.py it should be
def small_walk(self, start_node):
"""
Doing a truncated random walk.
:param start_node: Start node for random walk.
:return walk: Truncated random walk with fixed maximal length.
"""
walk = [start_node]
while len(walk) < self.args.walk_length:
if len(nx.neighbors(self.graph,walk[-1])) ==0:
break
walk = walk + [random.sample(nx.neighbors(self.graph,walk[-1]),1)[0]]
return walk
Instead of
def small_walk(self, start_node):
"""
Doing a truncated random walk.
:param start_node: Start node for random walk.
:return walk: Truncated random walk with fixed maximal length.
"""
walk = [start_node]
while len(walk) < self.args.walk_length:
walk = walk + [random.sample(nx.neighbors(self.graph,walk[-1]),1)[0]]
if len(nx.neighbors(self.graph,walk[-1])) ==0:
break
return walk
ImportError: cannot import name 'parameter_parser'
To solve this issue just rename the parser file, it detects it as the python's parser.
Abnormal results of embedding
When i run this model in different datasets (e.g blogcatalog), Some of the dimensions of the vector are greater than or less than negative 1, for example, (1.0,-7.087762355804443,-26.554523468017578,4.721840858459473, ...)
an unexpected keyword argument 'iter' in walker?
Hello! I am new in this work ,but when I try to run the code , the error "an unexpected keyword argument 'iter" occured in the function def learn_base_embedding(self) in walkers.py. It seems that the parameter 'iter' in
model = Word2Vec(self.paths, size=self.args.dimensions, window=self.args.window_size, min_count=1, sg=1, workers=self.args.workers, iter=1) is wrong ?
Index Error
I'm getting this error while running your code:
File "C:\Users\ANJALI\environments\splitter\src\splitter.py", line 41, in <listcomp>
persona_embedding = np.array([base_node_embedding[original_node] for node, original_node in mapping.items()])
IndexError: index 599 is out of bounds for axis 0 with size 599
The number of nodes in my graph are 599. What is the cause for this error?
`community` module not found
Hi, I'm trying to test the splitter embedding and encountered this issue of not being able to find the community module, which is being imported in ego_splittying.py. And I think I've installed all the required packages.
Line 3 in b5b330f
IndexError: index ... is out of bounds for axis 0 with size ...
I'm getting the same error.
Traceback (most recent call last):
File "/home/shady/Projects/GML/SPLITTER/Splitter/src/main.py", line 24, in <module>
main()
File "/home/shady/Projects/GML/SPLITTER/Splitter/src/main.py", line 19, in main
trainer.fit()
File "/home/shady/Projects/GML/SPLITTER/Splitter/src/splitter.py", line 229, in fit
self.setup_model()
File "/home/shady/Projects/GML/SPLITTER/Splitter/src/splitter.py", line 159, in setup_model
self.egonet_splitter.personality_map)
File "/home/shady/Projects/GML/SPLITTER/Splitter/src/splitter.py", line 52, in initialize_weights
persona_embedding = np.array([base_node_embedding[n] for _, n in mapping.items()])
File "/home/shady/Projects/GML/SPLITTER/Splitter/src/splitter.py", line 52, in <listcomp>
persona_embedding = np.array([base_node_embedding[n] for _, n in mapping.items()])
IndexError: index 8637 is out of bounds for axis 0 with size 8637
The dataset is sorted and also IDs start from zero with no index and header. Also, it just happens on the CA-HepTh dataset and not others which is strange.
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