A package for training GCN models with regularization following https://github.com/Zaehyeon2/FDGNN-Fraud-Address-Detection-on-Ethereum-using-Graph-Neural-Network
Project description
GCN Trainer
A Python package for training Graph Convolutional Network (GCN) models with regularization.
Installation
pip install gcn_trainer
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
gcn_trainer-0.1.0.tar.gz
(1.4 kB
view details)
Built Distribution
File details
Details for the file gcn_trainer-0.1.0.tar.gz.
File metadata
- Download URL: gcn_trainer-0.1.0.tar.gz
- Upload date:
- Size: 1.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.8.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7c0fbc6c387a1df43b070657a1716892f557f36d3cf55560e2be3257b00fadad |
|
| MD5 | 36fd7503562286ddacefdadc5e37d3d6 |
|
| BLAKE2b-256 | e0d43400a41eb25c15d367e304fb99d86dac453a6e081e0bed5afff01d9263da |
File details
Details for the file gcn_trainer-0.1.0-py3-none-any.whl.
File metadata
- Download URL: gcn_trainer-0.1.0-py3-none-any.whl
- Upload date:
- Size: 1.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.8.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e3e828ac59e0d54a55bf201babe80f12c099f8507e6571b70cb43e450993773c |
|
| MD5 | 6f8b78736252192fe5e3cb112384aa59 |
|
| BLAKE2b-256 | aeefd50f2ee94d3ce512eda5dc5443ed31863e361c81979281de1ea897243955 |
