HyperGraph Datasets
Collection
Collection of HyperGraph Datasets
•
17 items
•
Updated
•
7
hyperedge
int64 2
164k
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stringlengths 3
97
| timestamp
float64 2.8k
33M
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|---|---|---|
2
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[3, 4]
| 2,797
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3
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[3, 5]
| 3,304
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5
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[8, 6]
| 7,926
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7
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[9, 10]
| 19,403
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8
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[11, 12]
| 19,560
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9
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[13, 14]
| 21,077
|
10
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[13, 15]
| 21,280
|
11
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[16, 17]
| 21,793
|
12
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[18, 19]
| 21,799
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13
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[20, 13]
| 22,038
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14
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[21, 22]
| 23,175
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15
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[21, 23]
| 23,263
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17
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[42, 43]
| 23,646
|
18
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[44, 45]
| 23,652
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21
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[50, 51]
| 24,004
|
22
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[42, 52]
| 24,076
|
24
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[55, 56, 57, 58, 59, 60]
| 24,522
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25
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[61, 62]
| 24,710
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26
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[55]
| 24,832
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27
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[64, 63]
| 25,325
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28
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[65, 66]
| 25,424
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29
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[5, 63]
| 25,431
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31
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[69, 70]
| 25,597
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33
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[42, 43]
| 25,654
|
34
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[72, 71]
| 25,656
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35
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[73, 22]
| 25,811
|
36
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[72, 71]
| 25,870
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37
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[72, 71]
| 25,991
|
38
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[74, 75]
| 25,991
|
40
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[78, 79]
| 26,272
|
41
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[80, 78]
| 26,402
|
42
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[80, 78]
| 26,484
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44
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[20, 63]
| 27,094
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45
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[42, 52]
| 27,119
|
46
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[83, 84]
| 27,133
|
47
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[22, 23]
| 27,145
|
49
|
[73, 22]
| 27,187
|
50
|
[42, 43, 86, 87, 88]
| 27,235
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51
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[83, 87]
| 27,254
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52
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[89, 90]
| 27,343
|
53
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[91, 92]
| 27,362
|
54
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[21, 93]
| 27,408
|
55
|
[96, 42, 43, 52, 86, 88, 94, 95]
| 27,492
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56
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[89, 90, 97]
| 27,598
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57
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[98, 99, 100, 101, 102, 103]
| 27,689
|
58
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[104, 105]
| 27,718
|
59
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[104, 105]
| 27,822
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60
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[42, 52]
| 28,102
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62
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[91, 107]
| 28,150
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63
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[108, 63]
| 28,193
|
64
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[67, 109, 110, 111, 112, 113]
| 28,260
|
65
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[114, 115]
| 28,326
|
67
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[118, 119]
| 28,544
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68
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[120, 77]
| 28,555
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72
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[13, 15]
| 29,181
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73
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[125, 126]
| 29,445
|
74
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[14, 127]
| 29,586
|
75
|
[128, 129, 130, 131]
| 29,670
|
77
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[41, 27, 30]
| 29,736
|
78
|
[22, 23]
| 29,768
|
80
|
[56, 57, 60, 55]
| 29,864
|
83
|
[136, 137]
| 29,929
|
84
|
[138, 139]
| 29,998
|
85
|
[21, 23]
| 30,000
|
86
|
[140, 141]
| 30,009
|
89
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[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
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[149, 150]
| 30,281
|
95
|
[104, 151]
| 30,392
|
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
|
103
|
[16, 140]
| 30,932
|
104
|
[160, 159]
| 30,953
|
105
|
[3, 4, 5]
| 30,970
|
107
|
[13, 15]
| 31,082
|
108
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[40, 24, 36, 30]
| 31,085
|
109
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[161, 162]
| 31,232
|
112
|
[108, 63]
| 31,307
|
113
|
[73, 164]
| 31,335
|
114
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[73, 164]
| 31,347
|
115
|
[140, 165]
| 31,377
|
116
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[120, 77]
| 31,435
|
118
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[168, 169]
| 31,471
|
121
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[41, 172]
| 31,652
|
122
|
[83, 84]
| 31,682
|
123
|
[104, 124, 173, 62]
| 31,721
|
124
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[25, 97]
| 31,773
|
126
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[174, 22]
| 32,006
|
127
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[176, 175]
| 32,126
|
128
|
[177, 178, 179]
| 32,180
|
130
|
[22, 23]
| 32,636
|
131
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[131, 181]
| 32,748
|
132
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[44, 45]
| 32,765
|
134
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[184, 130]
| 32,914
|
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-25", 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:
11.9 MB
Size of the auto-converted Parquet files:
6.97 MB
Number of rows:
389,551