GPU-accelerated graph similarity algorithm library
Project description
The GraphDot Library
Documentation
Read the latest documentation on readthedocs.
Copyright
GraphDot Copyright (c) 2019, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.
If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov.
NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit other to do so.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file graphdot-0.1.5.tar.gz.
File metadata
- Download URL: graphdot-0.1.5.tar.gz
- Upload date:
- Size: 35.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.20.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | eb3e8cbd6f8d21aee669e0edc407847b4f2af7433e202332a191c1a51a1848e2 |
|
| MD5 | 419448ee48d974451d7892064df74cbe |
|
| BLAKE2b-256 | dfe64cbf111127a19881a69122b8df8d3f62bddeb05e0019d958de65b51e4be9 |
