Temporal Graphs
| Name |
Type |
#nodes |
#edges |
#attributes |
#labels |
URL |
| – |
– |
– |
– |
– |
– |
[raw] |
| – |
– |
– |
– |
– |
– |
[raw] |
| – |
– |
– |
– |
– |
– |
[raw] |
| – |
– |
– |
– |
– |
– |
[raw] |
Attribution Graphs
| Name |
Type |
#nodes |
#edges |
#attributes |
#labels |
URL |
| Cora |
directed |
2,708 |
5,429 |
1,433 |
7 |
[raw] |
| Citeseer |
directed |
3,327 |
4,732 |
3,703 |
6 |
[raw] |
| Pubmed |
directed |
19,717 |
44,338 |
500 |
3 |
[raw] |
| BlogCatalog |
undirected |
5,196 |
343,486 |
8,189 |
6 |
[raw] |
| PPI |
undirected |
56,944 |
81,8716 |
50 |
121 |
[raw] |
| Flickr |
undirected |
7,575 |
47,9476 |
12,047 |
9 |
[raw] |
| Reddit |
undirected |
232,965 |
11,606,919 |
602 |
41 |
[raw] |
| Ogbn-ArXiv |
undirected |
169,343 |
1,157,799 |
128 |
40 |
[raw] |
These datasets are also available in Pytorch-Geometric. Node attributes can be loaded as a sparse matrix using the following code
from scipy import sparse
features = sparse.load_npz("attrs.npz")
Simple Graphs
| Name |
#nodes |
#edges |
#labels |
Type |
URL |
| com-Amazon |
334,863 |
925,872 |
151,037 |
undirected |
[raw] |
| com-DBLP |
317,080 |
1,049,866 |
13,477 |
undirected |
[raw] |
| com-Youtube |
1,134,890 |
2,987,624 |
8,385 |
undirected |
[raw] |
| com-LiveJournal |
3,997,962 |
34,681,189 |
287,512 |
undirected |
[raw] |
| com-Orkut |
3,072,441 |
117,185,083 |
6,288,363 |
undirected |
[raw] |
| com-Friendster |
65,608,366 |
1,806,067,135 |
957,154 |
undirected |
[raw] |
| com-Friendster-small |
7,944,949 |
447,219,610 |
100 |
undirected |
[raw] [raw] |
| Pokec |
1,632,803 |
30,622,564 |
- |
directed |
[raw] |
| Twitter |
41,652,230 |
1,468,365,182 |
- |
directed |
[raw] |
| LiveJournal |
4,847,571 |
68,475,391 |
- |
directed |
[raw] |
Dataset Repositories