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The goal is to have a NetworkX style API for graph analytics.
For PageRank there are a few minor changes.
* NetworkX sets some values in the PageRank call rather than the Graph call
https://ne…
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Hi,
Thanks for the nice work! wonder if you could give a short description of the difference between this work's message passing and that of Ying. 2018, Graph Convolutional Neural Networks for Web-…
yzthz updated
5 years ago
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Arch Linux 3.15.1
Python 2.7.7
igraph 0.7.1
python-igraph 0.7.0
``` python
import igraph
igraph.Graph(n=2, edges=[[0, 1], [1, 0]]).pagerank()
```
Consistently crashes with an error message like the …
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Page Rank computes the ranking of the nodes of the graph based on the structure of the incoming links. It is a useful metrics in graphs and can be quite useful. (https://towardsdatascience.com/graph…
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I am using DGL to implement a graph neural network working on a bipartite graph. To perform GraphConv, I need to find `top_T=20` important neighbors of each node. However, in my case, the graph data …
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Hi,
After reading the KB Retrieval part of your paper, I got a question. You mention "run the Personalized PageRank around these seeds..". You also mention that using semantics similarity to give w…
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Thank you for sharing your great work!
But i want to know more detail about preprocessing. (e.g. how to make sub-graph from a question sentence)
Because, i wonder why a tuple is in sub-graph of a…
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GraphX added parallelized personalized PageRank in Spark 2.1. It'd be nice to add a wrapper for that in GraphFrames. If you're interested in working on this, please state the proposed API before you…
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A custom procedure (Personalized PageRank) gets called for each item in its input node list with an input list of cardinality 1. Since it is a single *list*, the procedure should only get called once …
rothn updated
6 years ago
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I was going through the implementation of PageRank matrix and I found that the value of damping factor is set to **0.85** as default while going through some of the research papers it says that it is …