How to use ogb - 2 common examples

To help you get started, we’ve selected a few ogb examples, based on popular ways it is used in public projects.

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github GraphSAINT / GraphSAINT / data / open_graph_benchmark / View on Github external
import sys
import os
import numpy as np
import scipy.sparse as sp
from tqdm import tqdm
from ogb.nodeproppred import PygNodePropPredDataset

Run this script to convert the graph from the open graph benchmark format
to the GraphSAINT format.

Right now, ogbn-products and ogbn-arxiv can be converted by this script.

dataset = PygNodePropPredDataset(name=sys.argv[1])
split_idx = dataset.get_idx_split()
train_idx, valid_idx, test_idx = split_idx['train'], split_idx['valid'], split_idx['test']
graph = dataset[0]
num_node = graph.y.shape[0]
# import pdb; pdb.set_trace()

save_dir = './data/'+sys.argv[1]+'/'
except OSError as error:

# feats.npy
feats = graph.x.numpy()'feats.npy',feats)
github GraphSAINT / GraphSAINT / graphsaint / open_graph_benchmark / View on Github external
Hanqing Zeng (;   Hongkuan Zhou (

from graphsaint.globals import *
from graphsaint.pytorch_version.models import GraphSAINT
from graphsaint.pytorch_version.minibatch import Minibatch
from graphsaint.utils import *
from graphsaint.metric import *
from graphsaint.pytorch_version.utils import *
from  ogb.nodeproppred import Evaluator

import torch
import time


def evaluate_full_batch(model, minibatch, mode='val'):
    Full batch evaluation: for validation and test sets only.
        When calculating the F1 score, we will mask the relevant root nodes
        (e.g., those belonging to the val / test sets).
    loss,preds,labels = model.eval_step(*minibatch.one_batch(mode=mode))
    if mode == 'val':
        node_target = [minibatch.node_val]
    elif mode == 'test':
        node_target = [minibatch.node_test]
        assert mode == 'valtest'
        node_target = [minibatch.node_val, minibatch.node_test]
    labels = labels.argmax(dim=-1, keepdim=True)


Open Graph Benchmark

Latest version published 2 months ago

Package Health Score

72 / 100
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