HyperGraph Datasets
Collection
Collection of HyperGraph Datasets
•
17 items
•
Updated
•
7
Dataset Viewer
hyperedge
int64 2
165k
| nodes
stringlengths 3
113
| timestamp
float64 2.8k
33M
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|---|---|---|
2
|
[3, 4]
| 2,797
|
3
|
[3, 5]
| 3,304
|
4
|
[6, 7]
| 4,523
|
5
|
[8, 6]
| 7,926
|
6
|
[6, 7]
| 8,061
|
7
|
[9, 10]
| 19,403
|
8
|
[11, 12]
| 19,560
|
9
|
[13, 14]
| 21,077
|
10
|
[13, 15]
| 21,280
|
12
|
[18, 19]
| 21,799
|
13
|
[20, 13]
| 22,038
|
14
|
[21, 22]
| 23,175
|
16
|
[32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 24, 25, 26, 27, 28, 29, 30, 31]
| 23,553
|
17
|
[42, 43]
| 23,646
|
19
|
[46, 47]
| 23,712
|
20
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[48, 49]
| 23,813
|
21
|
[50, 51]
| 24,004
|
22
|
[42, 52]
| 24,076
|
25
|
[61, 62]
| 24,710
|
26
|
[55]
| 24,832
|
29
|
[5, 63]
| 25,431
|
30
|
[67, 68]
| 25,503
|
31
|
[69, 70]
| 25,597
|
32
|
[67, 68]
| 25,608
|
33
|
[42, 43]
| 25,654
|
34
|
[72, 71]
| 25,656
|
35
|
[73, 22]
| 25,811
|
36
|
[72, 71]
| 25,870
|
37
|
[72, 71]
| 25,991
|
39
|
[49, 76, 77]
| 26,225
|
40
|
[78, 79]
| 26,272
|
41
|
[80, 78]
| 26,402
|
42
|
[80, 78]
| 26,484
|
44
|
[20, 63]
| 27,094
|
45
|
[42, 52]
| 27,119
|
46
|
[83, 84]
| 27,133
|
48
|
[83, 85]
| 27,176
|
49
|
[73, 22]
| 27,187
|
51
|
[83, 87]
| 27,254
|
52
|
[89, 90]
| 27,343
|
53
|
[91, 92]
| 27,362
|
54
|
[21, 93]
| 27,408
|
56
|
[89, 90, 97]
| 27,598
|
58
|
[104, 105]
| 27,718
|
59
|
[104, 105]
| 27,822
|
60
|
[42, 52]
| 28,102
|
61
|
[106, 83, 84, 85]
| 28,137
|
63
|
[108, 63]
| 28,193
|
65
|
[114, 115]
| 28,326
|
66
|
[116, 117]
| 28,393
|
67
|
[118, 119]
| 28,544
|
68
|
[120, 77]
| 28,555
|
69
|
[121, 18]
| 28,632
|
70
|
[106, 83, 84, 85, 87, 122]
| 28,784
|
71
|
[123, 124]
| 28,792
|
72
|
[13, 15]
| 29,181
|
73
|
[125, 126]
| 29,445
|
74
|
[14, 127]
| 29,586
|
76
|
[132, 133]
| 29,693
|
77
|
[41, 27, 30]
| 29,736
|
79
|
[19, 134]
| 29,824
|
81
|
[135, 7]
| 29,871
|
82
|
[116, 63]
| 29,928
|
83
|
[136, 137]
| 29,929
|
84
|
[138, 139]
| 29,998
|
86
|
[140, 141]
| 30,009
|
87
|
[142, 143]
| 30,072
|
88
|
[144, 52, 134]
| 30,076
|
89
|
[145, 146]
| 30,105
|
90
|
[89, 90]
| 30,114
|
91
|
[145, 146]
| 30,153
|
92
|
[147, 148]
| 30,274
|
93
|
[83, 84]
| 30,276
|
94
|
[149, 150]
| 30,281
|
95
|
[104, 151]
| 30,392
|
96
|
[50, 85]
| 30,463
|
97
|
[152, 29]
| 30,470
|
98
|
[153, 154]
| 30,512
|
99
|
[153, 154]
| 30,668
|
100
|
[155, 156]
| 30,698
|
101
|
[13, 14]
| 30,809
|
102
|
[157, 158]
| 30,899
|
104
|
[160, 159]
| 30,953
|
105
|
[3, 4, 5]
| 30,970
|
106
|
[19, 134]
| 30,981
|
107
|
[13, 15]
| 31,082
|
108
|
[40, 24, 36, 30]
| 31,085
|
109
|
[161, 162]
| 31,232
|
110
|
[163, 72, 50, 51, 85]
| 31,258
|
111
|
[163, 72, 50, 51, 85]
| 31,286
|
112
|
[108, 63]
| 31,307
|
115
|
[140, 165]
| 31,377
|
116
|
[120, 77]
| 31,435
|
118
|
[168, 169]
| 31,471
|
119
|
[123, 124]
| 31,491
|
120
|
[170, 171, 116]
| 31,576
|
121
|
[41, 172]
| 31,652
|
122
|
[83, 84]
| 31,682
|
123
|
[104, 124, 173, 62]
| 31,721
|
124
|
[25, 97]
| 31,773
|
End of preview. Expand
in Data Studio
Source Paper: https://arxiv.org/abs/1802.06916
Usage
from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset
dataset = CornellTemporalHyperGraphDataset(root = "./", name="email-Eu", split="train")
Citation
@article{Benson-2018-simplicial,
author = {Benson, Austin R. and Abebe, Rediet and Schaub, Michael T. and Jadbabaie, Ali and Kleinberg, Jon},
title = {Simplicial closure and higher-order link prediction},
year = {2018},
doi = {10.1073/pnas.1800683115},
publisher = {National Academy of Sciences},
issn = {0027-8424},
journal = {Proceedings of the National Academy of Sciences}
}
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Size of downloaded dataset files:
12.1 MB
Size of the auto-converted Parquet files:
7.08 MB
Number of rows:
392,167