add training notebook

Model Training.ipynb

@@ -0,0 +1,178 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "premier-closing",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import torch\n",
+    "\n",
+    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "documented-viewer",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import drGAT"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "numerical-karaoke",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ?drGAT"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "b2258cab-db0d-4cb2-9e6a-4f347265bf39",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = torch.load('train.pt')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "caroline-patrick",
+   "metadata": {},
+   "source": [
+    "# Model training\n",
+    "If is_sample=True, then the # of epochs is 5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "latter-kitchen",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using:  cpu\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|████████████████████████████████████████████████████████████████████████████████████████| 5/5 [01:51<00:00, 22.34s/it]\n"
+     ]
+    }
+   ],
+   "source": [
+    "model, attention = drGAT.train(data, is_sample=True, is_save=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "thrown-valve",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor([[0.0041, 0.0000, 0.0000,  ..., 0.0041, 0.0041, 0.0041],\n",
+       "        [0.0000, 0.0041, 0.0000,  ..., 0.0041, 0.0041, 0.0041],\n",
+       "        [0.0000, 0.0000, 0.0041,  ..., 0.0041, 0.0041, 0.0041],\n",
+       "        ...,\n",
+       "        [0.0041, 0.0041, 0.0041,  ..., 0.0041, 0.0000, 0.0000],\n",
+       "        [0.0041, 0.0041, 0.0041,  ..., 0.0000, 0.0041, 0.0000],\n",
+       "        [0.0041, 0.0041, 0.0041,  ..., 0.0000, 0.0000, 0.0041]])"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "attention"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "utility-collaboration",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "available-cameroon",
+   "metadata": {},
+   "source": [
+    "# Attention coefficient\n",
+    "This will be utilized [Fig3](https://github.com/inoue0426/new_drGAT/blob/main/Figs/Fig3.ipynb) and [Fig5](https://github.com/inoue0426/new_drGAT/blob/main/Figs/Fig5.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "crude-intermediate",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# attention = pd.DataFrame(attention)\n",
+    "# attention"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "executed-destination",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# attention.to_csv('attention.csv.gz', compression='gzip')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "korean-recipe",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "drGAT",
+   "language": "python",
+   "name": "drgat"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}