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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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