anasrz/cora-node-gcn
This is a NodeClassifier Graph Neural Network model on Cora built with K3-Node and Keras 3.
It runs natively and seamlessly across PyTorch, JAX, and TensorFlow backends.
Model Details
- Task:
NodeClassifier - Backbone Architecture:
gcn - Library:
k3-node(Keras 3) - Input Channels:
1433 - Hidden Channels:
32 - Output / Classes:
7 - Number of Layers:
2 - Dropout:
0.5
Evaluation Metrics
| Metric | Value |
|---|---|
| accuracy | 0.7860 |
Usage
Install k3-node with your preferred backend (PyTorch, JAX, or TensorFlow):
pip install k3-node huggingface_hub
Loading & Inference
import os
os.environ["KERAS_BACKEND"] = "torch" # or "jax", "tensorflow"
from k3_node.tasks import NodeClassifier
# Load the pretrained model directly from Hugging Face Hub
model = NodeClassifier.from_pretrained("anasrz/cora-node-gcn")
# Run predictions on your graph data
predictions = model.predict(data)
Framework & Citation
This model was trained with K3-Node, the multi-backend Graph Neural Network framework built on Keras 3.
@software{k3_node,
author = {Muhammad Anas Raza},
title = {K3-Node: Multi-Backend Graph Neural Networks on Keras 3},
year = {2026},
url = {https://github.com/anas-rz/k3-node}
}