Graph Based Spatio-Temporal Attention Models For Demand Forecasting
Project description
GraphSTAM
Graph Based Spatio-Temporal Attention Models
Note: The current implementation works for GPU (CUDA) enabled machines. To run on CPU, install the following dependencies manually:
pip install torch --index-url https://download.pytorch.org/whl/cpu
pip install torch-geometric
# for latest PyG version, install from master: pip install git+https://github.com/pyg-team/pytorch_geometric.git
pip install torch_scatter torch_sparse -f https://data.pyg.org/whl/torch-2.0.0+cpu.html
For usage guide, run:
import graphstam
graphstam.usage()
Project details
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
GraphSTAM-1.2.tar.gz
(210.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
GraphSTAM-1.2-py3-none-any.whl
(217.9 kB
view details)
File details
Details for the file GraphSTAM-1.2.tar.gz.
File metadata
- Download URL: GraphSTAM-1.2.tar.gz
- Upload date:
- Size: 210.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ecddc22c164af2a243a87bc5785643f2fbb61d85965d6f3b7bb3de9c1ab7b5cf
|
|
| MD5 |
4ae2a7b570e4b9b949d525affb21f8a9
|
|
| BLAKE2b-256 |
92dbee937f0ee5435beebd99b16b610eedaa810e558d79fb0e81133f84b7b7e6
|
File details
Details for the file GraphSTAM-1.2-py3-none-any.whl.
File metadata
- Download URL: GraphSTAM-1.2-py3-none-any.whl
- Upload date:
- Size: 217.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad4f5ffec10e88fbfeb193766d83d3b750a21b204e0397082a9854620ae66134
|
|
| MD5 |
2adb9e5a9c9334728090c28fd180e3e4
|
|
| BLAKE2b-256 |
377d7e08c1307402d60e40594dfd5932bfde88eb58eb332aec8f40c507bcc772
|