spine | Code of the paper SPINE : Structural Identity Preserved | Machine Learning library
kandi X-RAY | spine Summary
kandi X-RAY | spine Summary
This repository provides a reference implementation of the paper "SPINE: Structural Identity Preserved Inductive Network Embedding". SPINE is an inductive embedding method which can simultaneously preserve the local proximity and the structural identity of nodes. Details can be found here.
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- Load pdata
- Convert a sparse matrix to a tuple
- Parse an index file
- Generate a mask from a given index
- Load an adjacency list
- Make undirected directed graph
- Make consistent set consistent
- Mask nodes in graph
- Returns a subgraph of the current graph
- Builds the model
- Builds a deep walk corpus
- Generate a random walk
- Shuffle the graph
- Load a directed graph from a file
- Connects the model
- Create a list of random walks from a graph
- Random walk
- Build the model
- Build the graph
- Calculate the loss
- Sample an aggregation function
- Returns the test and test feed
- Load pandas data
- Generate node feed dictionary
- Return next minibatch feed
- Generate a dictionary of feed data
spine Key Features
spine Examples and Code Snippets
Community Discussions
Trending Discussions on spine
QUESTION
I'm trying to calculate the mean, standard deviation, median, first quartile and third quartile of the lognormal distribution that I fit to my histogram. So far I've only been able to calculate the mean, standard deviation and median, based on the formulas I found on Wikipedia, but I don't know how to calculate the first quartile and the third quartile. How could I calculate in Python the first quartile and the third quartile, based on the lognormal distribution?
...ANSWER
Answered 2021-Jun-08 at 20:07Given a log-normal distribution, we want to compute its quantiles. Furthermore, the parameters of the log-normal distribution are estimated from data.
The script below uses OpenTURNS to create the distribution using the LogNormal
class. It takes as inputs arguments the mean and standard deviation of the underlying normal distribution. Then we can use the computeQuantile()
method to compute the quantiles.
QUESTION
I need to draw 4 X vs Y plots, where X is constant but different Y Values. I used below code to get the plots but need to show the Y scale on either side of the Secondary Y axes (Y Axis 2 in the image), the way Primary Y Axis has (both inward and outward). Right now, it comes on same side of Secondary Y Axis. How to modify the below code to get this done.
...ANSWER
Answered 2021-Jun-04 at 07:21On your 4th axes, set tick_left
and move the left spine to the right-hand side:
QUESTION
The returned JSON has a structure like this:
...ANSWER
Answered 2021-May-27 at 18:42Render the result of Object.values(meds)
:
QUESTION
I'm trying to reproduce the following image using matplotlib
I figured I have two options to deal with the top and bottom grid lines: format the top/bottom spine to match the formatting of the grid lines, or turn off all spines and just display grid lines. I've gone with the latter, as it seems more straightforward:
...ANSWER
Answered 2021-May-26 at 19:45ax.grid()
has a parameter clip_on=
that can be set to False
to avoid clipping by the axes borders.
QUESTION
I want the axis ticks to start and end where the axis starts and ends
I have multiple columns which needs to be plotted at once. In the for loop I cannot define the y ticks for each and every column because they have different range of values. I want a code that does the axis setting as shown in the picture for every column's plot
This is the snippet of the code that I am using
...ANSWER
Answered 2021-May-24 at 11:24Just add plt.ylim(top=plt.yticks()[0][-1])
at the end of your loop. This exploits the fact that the automatically generated yticks also contain the next-higher tick, even though it's not visible. For example,
QUESTION
I have two separate tables. Table1 contains only 1 column, called date_spine and it has all dates from 2021-01-01 to current date. Table2 contains distinct columns of State, Store. My final goal is to create a new Table which contains all Dates in the Data Spine against every unique State, Store combination. Below is a brief example. I am hoping for SQL Script which will work in Snowflake. Thank you in advance!!
State Store Date_Spine IL Chicago 2021-01-01 IL Chicago 2021-01-02 IL Chicago 2021-01-03 IL Chicago 2021-01-04 IL Chicago 2021-01-05 MO St Louis 2021-01-01 MO St Louis 2021-01-02 MO St Louis 2021-01-03 MO St Louis 2021-01-04 MO St Louis 2021-01-05 ...ANSWER
Answered 2021-May-19 at 03:33You may use a cross join approach with calendar tables:
QUESTION
I have the following document for which I need to do mapping for elasticsearch
...ANSWER
Answered 2021-May-18 at 07:35There is no need to specify any particular mapping for array values.
If you will not define any explicit mapping, then the rows
field will be dynamically added as of the text
data type
There is no data type that is defined for arrays in elasticsearch. You just need to make sure that the rows
field contains the same type of data
Adding a working example with index data, search query, and search result
Index Mapping:
QUESTION
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
fig.subplots_adjust(right=0.75)
twin1 = ax.twinx()
twin2 = ax.twinx()
#twin2.spines.right.set_position(("axes", 1.2))
p1, = ax.plot([0, 1, 2], [0, 1, 2], "b-", label="Density")
p2, = twin1.plot([0, 1, 2], [0, 3, 2], "r-", label="Temperature")
p3, = twin2.plot([0, 1, 2], [50, 30, 15], "g-", label="Velocity")
ax.set_xlim(0, 2)
ax.set_ylim(0, 2)
twin1.set_ylim(0, 4)
twin2.set_ylim(1, 65)
ax.set_xlabel("Distance")
ax.set_ylabel("Density")
twin1.set_ylabel("Temperature")
twin2.set_ylabel("Velocity")
ax.yaxis.label.set_color(p1.get_color())
twin1.yaxis.label.set_color(p2.get_color())
twin2.yaxis.label.set_color(p3.get_color())
tkw = dict(size=4, width=1.5)
ax.tick_params(axis='y', colors=p1.get_color(), **tkw)
twin1.tick_params(axis='y', colors=p2.get_color(), **tkw)
twin2.tick_params(axis='y', colors=p3.get_color(), **tkw)
ax.tick_params(axis='x', **tkw)
ax.legend(handles=[p1, p2, p3])
plt.show()
...ANSWER
Answered 2021-May-15 at 17:30EDIT: It isn't a bug apparently - it's a feature added in version 3.4.0
This might be a bug - as it only happens when trying to run twin2.spines.right.set_position(("axes", 1.2))
on the ipython
terminal and not if you call it from a script. Perhaps the ordered dictionary values are not being correctly set as attributes, as they seems to be present:
QUESTION
I'm trying to use matplotlib to make a program that will use any two circles (any radius) and the adjacent circle will rotate around the main larger circle. I've looked at matplotlib.animation and it doesn't seem to work. Apparently animations just won't work with shapes?
Here's my code so far (I've deleted the animations subroutine as they seem to just brick the program)
...ANSWER
Answered 2021-May-15 at 15:02You can use Matplotlib FuncAnimation
with a function as argument (update
in the code below) to call at each new frame. Use theta2
as argument to the update function (trough the frames
parameter in the FuncAnimation
) and use it together with the already declared variables x3
and x4
to give the perception of the smaller circle progressing around the larger one. Next, use set_data
to allow the circlemove
object to display different data points for each new frame.
QUESTION
I am trying to improve this image with the help of morphological operations. The result I get is good but it takes almost 40 seconds to get the resulting image and I was wondering if there is any other method to get a similar or even better result without taking too long.
Below I attach the images and the code that i used to enhance the original image. Thanks
...ANSWER
Answered 2021-May-10 at 14:28Almost all of your time is being taken up by the closing function. This is mostly because that function's runtime scales terribly with kernel size and disk(40) is probably an 80x80 kernel under the hood. We can approximate the same thing by downscaling the image and running an equivalent-sized kernel on the smaller image.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install spine
You can use spine like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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