ogb | Benchmark datasets , data loaders | Machine Learning library

One can use GPU-based neighborhood sampling with DGL data loaders via:

* Put the graph onto GPU.

* Put the ``train_nid`` onto GPU.

* Set ``device`` argument to a GPU device.

* Set ``num_workers`` argument to 0, because CUDA does not allow multip  

pip install ogb

# 载入OGB的Graph Property Prediction数据集
import dgl
import torch
from ogb.graphproppred import DglGraphPropPredDataset
from dgl.dataloading import GraphDataLoader

def _collate_fn(batch):
    # 小批次是一个元组(graph, label)列表
    graphs = [e[0]  

pip install ogb

# Load Graph Property Prediction datasets in OGB
import dgl
import torch
from ogb.graphproppred import DglGraphPropPredDataset
from dgl.dataloading import GraphDataLoader


def _collate_fn(batch):
    # batch is a list of tuple (grap  

import argparse
import datetime
import os
import sys
import time

import dgl
import torch
from dgl.data.utils import load_graphs, save_graphs
from dgl.dataloading import GraphDataLoader
from ogb.linkproppred import DglLinkPropPredDataset, Evaluator
f  

import argparse
import math
import os
import random
import sys
import time

import numpy as np
import torch
import torch.nn.functional as F
from ogb.linkproppred import DglLinkPropPredDataset, Evaluator
from scipy.sparse.csgraph import shortest_path
  

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import argparse
import math
import random
import time
from collections import OrderedDict

import matplotlib.pyplot as plt
import numpy as np
import torch
import torch.nn.functional as F
import torch.opt  

driver.find_element_by_xpath('//a[@href="https://mail.google.com/mail/?tab=rm&ogb"]')

element = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, ('//a[@href="https://mail.google.com/mai

\b(TRSF|SND|ORG|OGB|OBI)\b=?\s*(.*?)(?=\s*\b(?:TRSF|SND|ORG|OGB|OBI)\b|\Z)

import re
s='TRSF BOOK TRANSFER CREDIT SND= abcd bank , 123  ORG= qwer123 OGB= qwerasd OBI= 123433'
tags =  ['TRSF','SND','ORG','OGB','OBI'

intermediate_output = intermediate_layer_model.predict(model_input, batch_size=N)

intermediate_output = intermediate_layer_model.predict_on_batch(model_input)

Cannot multiply A and B becaus

driver.find_element_by_partial_link_text("AAccount").click()

from selenium.webdriver.support.ui import WebDriverWait as wait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expect