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eliorc
/
node2vec
Implementation of the node2vec algorithm.
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20
Issues:
92
Forks:
244
eliorc/node2vec Issues
Train vs Inference methods
Updated
6 months ago
Comments count
6
Cannot import Node2Vec
Updated
7 months ago
Comments count
4
A faster implement
Closed
9 months ago
Comments count
1
Computing transition probabilities extremely slow - not parallel
Closed
4 years ago
Comments count
4
Error in model creation node2vec
Updated
a year ago
Comments count
1
failing simple clustering of synthetic networks
Closed
a year ago
Comments count
2
reproducability
Closed
a year ago
Comments count
2
error in node2vec fit
Updated
a year ago
Comments count
14
too slow and stuck for some reason
Closed
a year ago
Comments count
9
How can node2vec use GPU
Closed
2 years ago
Comments count
1
How to set parameters for a collection small disconnected graphs
Closed
2 years ago
Comments count
2
segmentation fault
Closed
2 years ago
Comments count
5
Error installing gensim in poetry env on mac m1
Closed
2 years ago
Comments count
3
import error
Closed
2 years ago
Comments count
3
model save and loading examples
Closed
2 years ago
Comments count
2
_precompute_probabilities parallel execution
Closed
2 years ago
Comments count
2
can same temp directory be used for different graphs in for loop training?
Closed
2 years ago
Comments count
4
Crash when edges are not initialised with a weight attribute
Closed
2 years ago
Comments count
8
Are there any ways to initialize node vector using pretrained embeddings?
Closed
2 years ago
Comments count
1
Interpretation of weights
Closed
2 years ago
Comments count
2
There may be a small problem with the walking length.
Closed
2 years ago
Comments count
1
[Question] about directed graph and weight
Closed
2 years ago
Comments count
2
batch_words argumewnt in .fit method
Closed
2 years ago
Comments count
2
Clarification on node2vec on graph type
Closed
2 years ago
Comments count
2
Can we use any technique other than word2vec in the implementation of node2vec for finding embeddings?
Closed
2 years ago
Comments count
1
Maximum recursion depth exceed
Closed
2 years ago
Comments count
4
defining random state or seed option parameters.
Closed
3 years ago
Comments count
1
Suggestions for running this on large graphs
Closed
3 years ago
Comments count
1
How to pass my own walks?
Closed
3 years ago
Comments count
2
Optimzation of embeddings
Closed
3 years ago
Comments count
1
Parameters tuning for word2vec
Closed
3 years ago
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1
Associating embeddings with input nodes
Closed
3 years ago
Comments count
4
edge weight
Closed
3 years ago
Comments count
5
How do you get the pre-training models?
Closed
3 years ago
Comments count
2
How to extract unsupervised loss value from training?
Closed
3 years ago
Comments count
2
TypeError: __init__() got an unexpected keyword argument 'vector_size'
Closed
3 years ago
Comments count
4
skip-gram implementation and node2vec walks
Closed
3 years ago
Comments count
2
testing with link prediction
Closed
3 years ago
Comments count
4
Calculating weights
Closed
3 years ago
Comments count
1
A few questions
Closed
3 years ago
Comments count
14
error in getting edge embeddings as key vectors
Closed
3 years ago
Comments count
3
A question for my internship
Closed
3 years ago
Comments count
5
Get only the edges embeddings from my input edgelist
Closed
3 years ago
Comments count
1
generating node representation vector for individual nodes after embedding
Closed
3 years ago
Comments count
2
Clarification about the walks from node2vec
Closed
3 years ago
Comments count
6
Is the trained word2vec really skip-gram by default? or is it CBOW?
Closed
3 years ago
Comments count
1
ValueError: probabilities contain NaN
Closed
4 years ago
Comments count
8
missing `model.wv.index_to_key` and mismatch node number with index vector
Closed
4 years ago
Comments count
9
len(num_walks) -> num_walks?
Closed
4 years ago
question regarding word2vec
Closed
4 years ago
Comments count
1
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