Virtual Lab: Graph Attention Networks (GAT)

Authenticated as Guest

UUID: m6c6i48ngmws9n75ghj3b6xz

EXPLORER

📄 main.py

📄 model_arch.py

📁 datasets

Architecture Overview

Interactive Editor

root@phd-lab-vbox:~# python main.py

root@phd-gpu-cluster:~# python run_graph_attention_networks_gat_experiment.py --use_cuda=True [INFO] Initializing distributed training environment... [INFO] Loading PhD-level module: Graph Attention Networks (GAT) [METRIC] CUDA Memory Allocated: 34 GB [METRIC] TFLOPS Achieved: 114.4 [SUCCESS] Model converged successfully. Gradients stable.

root@phd-lab-vbox:~#