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简介

收集来自于论文 HeCo [1] 的 4 个异质图数据集(ACM、DBLP、Freebase、AMiner),用于节点分类任务。

统计信息

数据集 节点 边 节点类别数
ACM paper (P): 4019
author (A): 7167
subject (S): 60
PA/AP: 1,3407
PS/SP: 4019
P: 3
DBLP author (A): 4057
paper (P): 1,4328
term (T): 7723
conference (C): 20
AP/PA: 1,9645
PT/TP: 8,5810
PC/CP: 1,4328
A: 4
Freebase movie (M): 3492
actor (A): 3,3401
director (D): 2502
writer (W): 4459
MA/AM: 6,5341
MD/DM: 3762
MW/WM: 6414
M: 3
AMiner paper (P): 6564
author (A): 1,3329
reference (R): 3,5890
PA/AP: 1,8007
PR/RP: 5,8831
P: 4

使用方法

下载仓库:https://github.com/hcmdgh/dataset

通过dataset_util,加载相应的数据集:

import dataset_util

dataset = load_acm_dataset(split=20)
print(dataset)

参考文献

  • [1] Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning.
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