DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

iMoonLab, updated 🕥 2022-12-08 02:37:07

DHGNN: Dynamic Hypergraph Neural Networks

Created by Jianwen Jiang, Yuxuan Wei, Yifan Feng, Jingxuan Cao and Yue Gao from Tsinghua University and Xiamen University. framework

Introduction

This work has been published in IJCAI 2019.
Dynamic Hypergraph Neural Networks (DHGNN) is a kind of neural networks modeling dynamically evolving hypergraph structures, which is composed of the stacked layers of two modules: dynamic hypergraph construction (DHG) and hypergrpah convolution (HGC). Considering initially constructed hypergraph is probably not a suitable representation for data, the DHG module dynamically updates hypergraph structure on each layer. Then hypergraph convolution is introduced to encode high-order data relations in a hypergraph structure. The HGC module includes two phases: vertex convolution and hyperedge convolution, which are designed to aggregate feature among vertices and hyperedges, respectively. We have evaluated our method on standard datasets, the Cora citation network and Microblog dataset. Detailed introduction can be found in the original paper.
In this repository, we release the code for train and test DHGNN on Cora citation dataset.

Citation

@inproceedings{Jiang2019Dynamic, title={Dynamic Hypergraph Neural Networks}, author={Jianwen Jiang, Yuxuan Wei, Yifan Feng, Jingxuan Cao and Yue Gao}, booktitle={Proceedings of International Joint Conferences on Artificial Intelligence}, page={2635-2641}, year={2019} }

Installation

The code has been tested with Python 3.6, CUDA 9.0 on Ubuntu 16.04. GPU is needed to run the code. You can install all the requirements by pip install -r requirements.txt.
Requirements list: - alabaster==0.7.10 - asn1crypto==0.24.0 - astroid==1.6.3 - astropy==3.0.2 - attrs==18.1.0 - Babel==2.5.3 - backcall==0.1.0 - backports.shutil-get-terminal-size==1.0.0 - beautifulsoup4==4.6.0 - bitarray==0.8.1 - bkcharts==0.2 - blaze==0.11.3 - bleach==2.1.3 - bokeh==0.12.16 - boto==2.48.0 - Bottleneck==1.2.1 - certifi==2018.4.16 - cffi==1.11.5 - chardet==3.0.4 - click==6.7 - cloudpickle==0.5.3 - clyent==1.2.2 - colorama==0.3.9 - conda==4.5.4 - conda-build==3.10.5 - conda-verify==2.0.0 - contextlib2==0.5.5 - cryptography==2.2.2 - cycler==0.10.0 - Cython==0.28.2 - cytoolz==0.9.0.1 - dask==0.17.5 - datashape==0.5.4 - decorator==4.3.0 - distributed==1.21.8 - docutils==0.14 - entrypoints==0.2.3 - et-xmlfile==1.0.1 - fastcache==1.0.2 - filelock==3.0.4 - Flask==1.0.2 - Flask-Cors==3.0.4 - gevent==1.3.0 - glob2==0.6 - gmpy2==2.0.8 - greenlet==0.4.13 - h5py==2.7.1 - heapdict==1.0.0 - html5lib==1.0.1 - idna==2.6 - imageio==2.3.0 - imagesize==1.0.0 - ipdb==0.12.3 - ipykernel==4.8.2 - ipython==6.4.0 - ipython-genutils==0.2.0 - ipywidgets==7.2.1 - isort==4.3.4 - itsdangerous==0.24 - jdcal==1.4 - jedi==0.12.0 - jieba==0.39 - Jinja2==2.10 - jsonschema==2.6.0 - jupyter==1.0.0 - jupyter-client==5.2.3 - jupyter-console==5.2.0 - jupyter-core==4.4.0 - jupyterlab==0.32.1 - jupyterlab-launcher==0.10.5 - kiwisolver==1.0.1 - lazy-object-proxy==1.3.1 - llvmlite==0.23.1 - locket==0.2.0 - lxml==4.2.1 - MarkupSafe==1.0 - matplotlib==2.2.2 - mccabe==0.6.1 - mistune==0.8.3 - mkl-fft==1.0.0 - mkl-random==1.0.1 - more-itertools==4.1.0 - mpmath==1.0.0 - msgpack-python==0.5.6 - multipledispatch==0.5.0 - navigator-updater==0.2.1 - nbconvert==5.3.1 - nbformat==4.4.0 - networkx==1.11 - nltk==3.3 - nose==1.3.7 - notebook==5.5.0 - numba==0.38.0 - numexpr==2.6.5 - numpy==1.14.3 - numpydoc==0.8.0 - odo==0.5.1 - olefile==0.45.1 - openpyxl==2.5.3 - packaging==17.1 - pandas==0.23.0 - pandocfilters==1.4.2 - parso==0.2.0 - partd==0.3.8 - path.py==11.0.1 - pathlib2==2.3.2 - patsy==0.5.0 - pep8==1.7.1 - pexpect==4.5.0 - pickleshare==0.7.4 - Pillow==5.1.0 - pkginfo==1.4.2 - pluggy==0.6.0 - ply==3.11 - prompt-toolkit==1.0.15 - psutil==5.4.5 - ptyprocess==0.5.2 - py==1.5.3 - pycodestyle==2.4.0 - pycosat==0.6.3 - pycparser==2.18 - pycrypto==2.6.1 - pycurl==7.43.0.1 - pyflakes==1.6.0 - Pygments==2.2.0 - pylint==1.8.4 - pyodbc==4.0.23 - pyOpenSSL==18.0.0 - pyparsing==2.2.0 - PySocks==1.6.8 - pytest==3.5.1 - pytest-arraydiff==0.2 - pytest-astropy==0.3.0 - pytest-doctestplus==0.1.3 - pytest-openfiles==0.3.0 - pytest-remotedata==0.2.1 - python-dateutil==2.7.3 - pytz==2018.4 - PyWavelets==0.5.2 - PyYAML==3.12 - pyzmq==17.0.0 - QtAwesome==0.4.4 - qtconsole==4.3.1 - QtPy==1.4.1 - requests==2.18.4 - rope==0.10.7 - ruamel-yaml==0.15.35 - scikit-image==0.13.1 - scikit-learn==0.19.1 - scipy==1.1.0 - seaborn==0.8.1 - Send2Trash==1.5.0 - simplegeneric==0.8.1 - singledispatch==3.4.0.3 - six==1.11.0 - snowballstemmer==1.2.1 - sortedcollections==0.6.1 - sortedcontainers==1.5.10 - Sphinx==1.7.4 - sphinxcontrib-websupport==1.0.1 - spyder==3.2.8 - SQLAlchemy==1.2.7 - statsmodels==0.9.0 - sympy==1.1.1 - tables==3.4.3 - tblib==1.3.2 - terminado==0.8.1 - testpath==0.3.1 - thop==0.0.31.post1909230639 - toolz==0.9.0 - torch==0.4.1 - torchvision==0.2.1 - tornado==5.0.2 - traitlets==4.3.2 - typing==3.6.4 - unicodecsv==0.14.1 - urllib3==1.22 - wcwidth==0.1.7 - webencodings==0.5.1 - Werkzeug==0.14.1 - widgetsnbextension==3.2.1 - wrapt==1.10.11 - xlrd==1.1.0 - XlsxWriter==1.0.4 - xlwt==1.3.0 - zict==0.1.3

Usage

Data Preparation

Github repo of - planetoid (Zhilin Yang, William W. - Cohen, Ruslan Salakhutdinov, Revisiting Semi-Supervised Learning with Graph Embeddings, ICML 2016) provided a preprocessed Cora dataset and a fixed splitting. After downloading the Cora dataset, put it - under path $data_root/$citation_root, where $data_root and $citation_root is configured - in config/config.yaml. Make sure to edit these two properties of configuration before - running the code. - ### Train and Test Model You can run the model by the following command: shell python train.py --gpu_id $GPU_ID --model_version DHGNN_v1

License

Our code is released under MIT License (see LICENSE file for details).

Issues

Bump certifi from 2018.4.16 to 2022.12.7

opened on 2022-12-08 02:37:06 by dependabot[bot]

Bumps certifi from 2018.4.16 to 2022.12.7.

Commits

9e9e840 2022.12.07
b81bdb2 2022.09.24
939a28f 2022.09.14
aca828a 2022.06.15.2
de0eae1 Only use importlib.resources's new files() / Traversable API on Python ≥3.11 ...
b8eb5e9 2022.06.15.1
47fb7ab Fix deprecation warning on Python 3.11 (#199)
b0b48e0 fixes #198 -- update link in license
9d514b4 2022.06.15
4151e88 Add py.typed to MANIFEST.in to package in sdist (#196)
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Bump pillow from 5.1.0 to 9.3.0

opened on 2022-11-22 02:41:35 by dependabot[bot]

Bumps pillow from 5.1.0 to 9.3.0.

Release notes

Sourced from pillow's releases.

9.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html

Changes

Initialize libtiff buffer when saving #6699 [@radarhere]

Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [@wiredfool]

Inline fname2char to fix memory leak #6329 [@nulano]

Fix memory leaks related to text features #6330 [@nulano]

Use double quotes for version check on old CPython on Windows #6695 [@hugovk]

GHA: replace deprecated set-output command with GITHUB_OUTPUT file #6697 [@nulano]

Remove backup implementation of Round for Windows platforms #6693 [@cgohlke]

Upload fribidi.dll to GitHub Actions #6532 [@nulano]

Fixed set_variation_by_name offset #6445 [@radarhere]

Windows build improvements #6562 [@nulano]

Fix malloc in _imagingft.c:font_setvaraxes #6690 [@cgohlke]

Only use ASCII characters in C source file #6691 [@cgohlke]

Release Python GIL when converting images using matrix operations #6418 [@hmaarrfk]

Added ExifTags enums #6630 [@radarhere]

Do not modify previous frame when calculating delta in PNG #6683 [@radarhere]

Added support for reading BMP images with RLE4 compression #6674 [@npjg]

Decode JPEG compressed BLP1 data in original mode #6678 [@radarhere]

pylint warnings #6659 [@marksmayo]

Added GPS TIFF tag info #6661 [@radarhere]

Added conversion between RGB/RGBA/RGBX and LAB #6647 [@radarhere]

Do not attempt normalization if mode is already normal #6644 [@radarhere]

Fixed seeking to an L frame in a GIF #6576 [@radarhere]

Consider all frames when selecting mode for PNG save_all #6610 [@radarhere]

Don't reassign crc on ChunkStream close #6627 [@radarhere]

Raise a warning if NumPy failed to raise an error during conversion #6594 [@radarhere]

Only read a maximum of 100 bytes at a time in IMT header #6623 [@radarhere]

Show all frames in ImageShow #6611 [@radarhere]

Allow FLI palette chunk to not be first #6626 [@radarhere]

If first GIF frame has transparency for RGB_ALWAYS loading strategy, use RGBA mode #6592 [@radarhere]

Round box position to integer when pasting embedded color #6517 [@radarhere]

Removed EXIF prefix when saving WebP #6582 [@radarhere]

Pad IM palette to 768 bytes when saving #6579 [@radarhere]

Added DDS BC6H reading #6449 [@ShadelessFox]

Added support for opening WhiteIsZero 16-bit integer TIFF images #6642 [@JayWiz]

Raise an error when allocating translucent color to RGB palette #6654 [@jsbueno]

Moved mode check outside of loops #6650 [@radarhere]

Added reading of TIFF child images #6569 [@radarhere]

Improved ImageOps palette handling #6596 [@PososikTeam]

Defer parsing of palette into colors #6567 [@radarhere]

Apply transparency to P images in ImageTk.PhotoImage #6559 [@radarhere]

Use rounding in ImageOps contain() and pad() #6522 [@bibinhashley]

Fixed GIF remapping to palette with duplicate entries #6548 [@radarhere]

Allow remap_palette() to return an image with less than 256 palette entries #6543 [@radarhere]

Corrected BMP and TGA palette size when saving #6500 [@radarhere]

... (truncated)

Changelog

Sourced from pillow's changelog.

9.3.0 (2022-10-29)

Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [wiredfool]

Initialize libtiff buffer when saving #6699 [radarhere]

Inline fname2char to fix memory leak #6329 [nulano]

Fix memory leaks related to text features #6330 [nulano]

Use double quotes for version check on old CPython on Windows #6695 [hugovk]

Remove backup implementation of Round for Windows platforms #6693 [cgohlke]

Fixed set_variation_by_name offset #6445 [radarhere]

Fix malloc in _imagingft.c:font_setvaraxes #6690 [cgohlke]

Release Python GIL when converting images using matrix operations #6418 [hmaarrfk]

Added ExifTags enums #6630 [radarhere]

Do not modify previous frame when calculating delta in PNG #6683 [radarhere]

Added support for reading BMP images with RLE4 compression #6674 [npjg, radarhere]

Decode JPEG compressed BLP1 data in original mode #6678 [radarhere]

Added GPS TIFF tag info #6661 [radarhere]

Added conversion between RGB/RGBA/RGBX and LAB #6647 [radarhere]

Do not attempt normalization if mode is already normal #6644 [radarhere]

... (truncated)

Commits

d594f4c Update CHANGES.rst [ci skip]
909dc64 9.3.0 version bump
1a51ce7 Merge pull request #6699 from hugovk/security-libtiff_buffer
2444cdd Merge pull request #6700 from hugovk/security-samples_per_pixel-sec
744f455 Added release notes
0846bfa Add to release notes
799a6a0 Fix linting
00b25fd Hide UserWarning in logs
05b175e Tighter test case
13f2c5a Prevent DOS with large SAMPLESPERPIXEL in Tiff IFD
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关于超边集merge的一些疑问

opened on 2022-09-26 07:27:42 by 280777510

作者您好，阅读论文后发现你们关于动态构建超图网络的想法非常酷，看了文章后深受启发。有两个问题 1.在微博情感分析任务中，有三个模态，分别是文本，图像和表情，文中你您提出构建三个超边集来对应三个模态构成的超边，然后再merge这个三个超边集，这个merge是指在列维度上concate起来吗？例如第一模态超边集大小为10，第二模态20，第三模态30，最后形成的大超边集是，N个结点*60超边？如果是上面这个想法，后面的特征聚合该如何实现？ 2.使用DHGNN这篇文章中，在每一次聚类时候簇的个数，簇内结点个数，knn每个邻居结点个数，目标结点u选择周围最近簇的个数，这都是预先设置好了，应用时候该如何确定最佳设定这些个值？

Bump nbconvert from 5.3.1 to 6.5.1

opened on 2022-08-23 18:01:18 by dependabot[bot]

Bumps nbconvert from 5.3.1 to 6.5.1.

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Sourced from nbconvert's releases.

Release 6.5.1

No release notes provided.

6.5.0

What's Changed

Drop dependency on testpath. by @anntzer in jupyter/nbconvert#1723

Adopt pre-commit by @blink1073 in jupyter/nbconvert#1744

Add pytest settings and handle warnings by @blink1073 in jupyter/nbconvert#1745

Apply Autoformatters by @blink1073 in jupyter/nbconvert#1746

Add git-blame-ignore-revs by @blink1073 in jupyter/nbconvert#1748

Update flake8 config by @blink1073 in jupyter/nbconvert#1749

support bleach 5, add packaging and tinycss2 dependencies by @bollwyvl in jupyter/nbconvert#1755

[pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in jupyter/nbconvert#1752

update cli example by @leahecole in jupyter/nbconvert#1753

Clean up pre-commit by @blink1073 in jupyter/nbconvert#1757

Clean up workflows by @blink1073 in jupyter/nbconvert#1750

New Contributors

@pre-commit-ci made their first contribution in jupyter/nbconvert#1752

Full Changelog: https://github.com/jupyter/nbconvert/compare/6.4.5...6.5

6.4.3

What's Changed

Add section to customizing showing how to use template inheritance by @stefanv in jupyter/nbconvert#1719

Remove ipython genutils by @rgs258 in jupyter/nbconvert#1727

Update changelog for 6.4.3 by @blink1073 in jupyter/nbconvert#1728

New Contributors

@stefanv made their first contribution in jupyter/nbconvert#1719

@rgs258 made their first contribution in jupyter/nbconvert#1727

Full Changelog: https://github.com/jupyter/nbconvert/compare/6.4.2...6.4.3

6.4.0

What's Changed

Optionally speed up validation by @gwincr11 in jupyter/nbconvert#1672

Adding missing div compared to JupyterLab DOM structure by @SylvainCorlay in jupyter/nbconvert#1678

Allow passing extra args to code highlighter by @yuvipanda in jupyter/nbconvert#1683

Prevent page breaks in outputs when printing by @SylvainCorlay in jupyter/nbconvert#1679

Add collapsers to template by @SylvainCorlay in jupyter/nbconvert#1689

Fix recent pandoc latex tables by adding calc and array (#1536, #1566) by @cgevans in jupyter/nbconvert#1686

Add an invalid notebook error by @gwincr11 in jupyter/nbconvert#1675

Fix typos in execute.py by @TylerAnderson22 in jupyter/nbconvert#1692

Modernize latex greek math handling (partially fixes #1673) by @cgevans in jupyter/nbconvert#1687

Fix use of deprecated API and update test matrix by @blink1073 in jupyter/nbconvert#1696

Update nbconvert_library.ipynb by @letterphile in jupyter/nbconvert#1695

Changelog for 6.4 by @blink1073 in jupyter/nbconvert#1697

New Contributors

... (truncated)

Commits

7471b75 Release 6.5.1
c1943e0 Fix pre-commit
8685e93 Fix tests
0abf290 Run black and prettier
418d545 Run test on 6.x branch
bef65d7 Convert input to string prior to escape HTML
0818628 Check input type before escaping
b206470 GHSL-2021-1017, GHSL-2021-1020, GHSL-2021-1021
a03cbb8 GHSL-2021-1026, GHSL-2021-1025
48fe71e GHSL-2021-1024
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Bump mistune from 0.8.3 to 2.0.3

opened on 2022-07-29 23:01:07 by dependabot[bot]

Bumps mistune from 0.8.3 to 2.0.3.

Release notes

Sourced from mistune's releases.

Version 2.0.2

Fix escape_url via lepture/mistune#295

Version 2.0.1

Fix XSS for image link syntax.

Version 2.0.0

First release of Mistune v2.

Version 2.0.0 RC1

In this release, we have a Security Fix for harmful links.

Version 2.0.0 Alpha 1

This is the first release of v2. An alpha version for users to have a preview of the new mistune.

Version 0.8.4

Support an escaped pipe char in a table cell. #150

Fix ordered and unordered list. #152

Fix spaces between = in HTML tags

Add max_recursive_depth for list and blockquote.

Fix fences code block.

Changelog

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Changelog

Here is the full history of mistune v2.

Version 2.0.4
Released on Jul 15, 2022

Fix url plugin in &lt;a&gt; tag
Fix * formatting

Version 2.0.3
Released on Jun 27, 2022

Fix table plugin

Security fix for CVE-2022-34749

Version 2.0.2
Released on Jan 14, 2022
Fix escape_url
Version 2.0.1
Released on Dec 30, 2021

XSS fix for image link syntax.

Version 2.0.0
Released on Dec 5, 2021
This is the first non-alpha release of mistune v2.
Version 2.0.0rc1
Released on Feb 16, 2021

Version 2.0.0a6
</tr></table> 

... (truncated)

Commits

3f422f1 Version bump 2.0.3
a6d4321 Fix asteris emphasis regex CVE-2022-34749
5638e46 Merge pull request #307 from jieter/patch-1
0eba471 Fix typo in guide.rst
61e9337 Fix table plugin
76dec68 Add documentation for renderer heading when TOC enabled
799cd11 Version bump 2.0.2
babb0cf Merge pull request #295 from dairiki/bug.escape_url
fc2cd53 Make mistune.util.escape_url less aggressive
3e8d352 Version bump 2.0.1
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Bump distributed from 1.21.8 to 2021.10.0

opened on 2022-07-15 21:59:16 by dependabot[bot]

Bumps distributed from 1.21.8 to 2021.10.0.

Commits

63ebaea bump version to 2021.10.0
1670cf8 Ensure resumed flight tasks are still fetched (#5426)
cdc68cc AMM high level documentation (#5456)
33d83bc Provide stack for suspended coro in test timeout (#5446)
918e3fb Handle UCXNotConnected error (#5449)
3afc670 AMM: Don't schedule tasks to paused workers (#5431)
f3aa9d1 Use pip install . instead of calling setup.py (#5442)
a8151a6 Increase latency for stealing (#5390)
1585f85 Type annotations for Worker and gen_cluster (#5438)
7d2516a Ensure reconnecting workers do not loose required data (#5436)
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graph-embedding nerual-network pytorch