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### Description
This task is to re-implement graph ER in python code which includes blocking for candidates selection, graphSAGE for link prediction, and plotting figures. This work will be used for …
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Hi all,
Let's use this thread to book-keep all the major TODOs before our first major milestone.
**High priority**
Tasks that have a major contributor to be in charge of.
- [x] C Python inter…
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1. Introduce json format (see #12 )
2. Create a _ModelData class for saving all necessary data (e.g. topic_distributions)
class _ModelData:
def __init__(self, val=2):
self.topic_d…
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Recently used this to detect communities on a bipartite graph (5220 nodes 7136 edges). Currently using this for the same task on a co-occurrence graph with 5131 nodes and over 565k+ edges. The script …
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I'm trying to create embeddings for an edge list I have using networkx and node2vec. My edge list looks as follows:
```
1 2
1 6
...
450 230
...
601 602
```
It's an unweighted undirected …
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Hello, I apply node2vec method in a citation network generated myself. I want to compare the deepwalk and node2vec. In my opinion, the node2vec is better than deepwalk, but I have tried lots of p, q, …
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Great work!
It would be great if some performance numbers(for Node2Vec and LINE) are provided.
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can you please provide the predict function?
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I see aditya-grover have implemented before and it support spark version. I find your node2vec later. Your implementation is also perfect, but why you reinvent the wheel?
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_RemoteTraceback Traceback (most recent call last)
_RemoteTraceback:
"""
Traceback (most recen…