HyperGraph Datasets
Collection
Collection of HyperGraph Datasets
•
17 items
•
Updated
•
7
Datasets:
Dataset Viewer
hyperedge
int64 1
193k
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stringlengths 3
85
| timestamp
float64 18.5B
201B
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|---|---|---|
1
|
[60571, 55566]
| 136,124,026,250
|
2
|
[58912, 8322, 1766]
| 118,238,133,540
|
3
|
[90409, 73530, 91300]
| 138,676,050,806
|
4
|
[106841, 169]
| 152,080,702,826
|
6
|
[71617, 70319]
| 122,033,114,140
|
7
|
[29006]
| 119,003,936,410
|
8
|
[22285]
| 73,825,669,860
|
9
|
[2244]
| 46,198,816,520
|
10
|
[24936, 29178]
| 82,259,304,593
|
11
|
[17693, 6637]
| 67,013,808,060
|
12
|
[105863]
| 150,997,049,706
|
13
|
[83016, 64670]
| 129,403,379,060
|
15
|
[2244, 582]
| 51,796,881,433
|
16
|
[144648, 142428]
| 192,354,661,226
|
17
|
[14298, 37605, 21038]
| 87,524,283,333
|
18
|
[51145]
| 99,828,872,353
|
19
|
[137698, 61263]
| 194,333,702,330
|
21
|
[7290, 30806]
| 80,604,263,686
|
22
|
[95853]
| 162,669,617,450
|
24
|
[13083, 20438]
| 71,382,667,583
|
26
|
[84545, 169]
| 130,928,616,140
|
27
|
[92146, 23979]
| 137,536,675,826
|
29
|
[45889, 45894]
| 95,022,039,880
|
30
|
[16632, 46221]
| 95,423,200,193
|
32
|
[151029]
| 199,391,200,930
|
33
|
[96912, 90038]
| 142,021,512,206
|
34
|
[14032, 2263]
| 99,054,944,716
|
36
|
[76377, 116511]
| 162,628,086,780
|
38
|
[29587, 8079]
| 79,269,663,313
|
42
|
[111624, 112210]
| 158,952,122,976
|
44
|
[87621, 87598]
| 133,879,977,066
|
45
|
[119049]
| 165,247,521,190
|
46
|
[134427]
| 181,495,950,403
|
48
|
[728, 1241, 70, 1535]
| 27,015,672,593
|
50
|
[94783]
| 139,868,987,210
|
53
|
[141378, 140366]
| 188,898,124,966
|
54
|
[52343]
| 100,875,417,673
|
55
|
[12072, 169, 34763]
| 84,621,880,323
|
57
|
[22131]
| 74,245,830,143
|
60
|
[106274, 109469, 91802]
| 155,136,941,650
|
61
|
[105859]
| 158,998,808,220
|
62
|
[88879]
| 135,249,711,703
|
63
|
[19657, 28876]
| 78,605,126,050
|
64
|
[68418]
| 191,343,444,400
|
66
|
[23297, 57924]
| 106,314,978,740
|
67
|
[98736]
| 143,898,865,213
|
69
|
[1538, 90]
| 29,361,017,680
|
70
|
[117928, 117929]
| 164,062,683,643
|
71
|
[97674, 97300]
| 142,864,174,390
|
72
|
[50044, 118605]
| 164,761,828,786
|
78
|
[44448, 4613]
| 93,405,550,523
|
79
|
[114542]
| 160,585,946,743
|
81
|
[80859, 15463]
| 127,491,864,750
|
85
|
[77210, 76931, 68910]
| 124,157,350,853
|
86
|
[59730, 62950]
| 111,302,368,470
|
87
|
[89425]
| 135,848,927,530
|
90
|
[55566]
| 112,847,079,743
|
91
|
[63553, 65510]
| 113,776,782,436
|
92
|
[56611, 56623]
| 105,301,829,676
|
95
|
[35770]
| 92,678,585,743
|
97
|
[64670, 83246]
| 129,664,962,980
|
100
|
[116760, 145698]
| 198,889,801,640
|
101
|
[40865, 11223]
| 90,163,430,416
|
103
|
[13849, 1772]
| 73,936,973,630
|
104
|
[35113, 9532]
| 128,760,196,780
|
105
|
[21258]
| 72,576,838,220
|
106
|
[22899, 2244]
| 74,000,577,173
|
107
|
[10331, 10893, 1606]
| 57,380,257,220
|
108
|
[126852, 126916]
| 173,121,854,513
|
110
|
[38319]
| 88,250,366,713
|
111
|
[106088, 2263]
| 151,242,316,673
|
113
|
[79133]
| 182,766,724,566
|
117
|
[6841, 12858]
| 59,633,714,440
|
119
|
[77164]
| 124,112,312,896
|
122
|
[30736, 873, 31156]
| 80,924,652,520
|
124
|
[552]
| 150,979,939,263
|
127
|
[23024, 31081]
| 83,226,334,776
|
130
|
[69624, 69623]
| 117,830,427,550
|
131
|
[133200, 133036]
| 180,091,570,713
|
132
|
[98796, 64670, 15031]
| 143,958,335,666
|
134
|
[53364, 53367]
| 101,862,338,170
|
136
|
[6841, 10247]
| 56,974,293,246
|
137
|
[18240, 10286]
| 67,871,501,106
|
145
|
[151406]
| 199,616,167,693
|
146
|
[19104, 3156]
| 69,429,546,290
|
148
|
[96194, 86618, 38543]
| 141,371,972,350
|
149
|
[105740, 70062]
| 150,883,288,593
|
150
|
[27512, 26607, 25316, 3423]
| 77,580,521,460
|
153
|
[9920, 20035]
| 70,639,649,933
|
154
|
[136160, 105083]
| 199,021,953,243
|
155
|
[37232, 24038]
| 87,142,303,326
|
156
|
[49667]
| 98,692,393,893
|
157
|
[32293, 42695]
| 92,126,795,446
|
159
|
[128580, 128990]
| 175,402,314,673
|
160
|
[41434]
| 90,638,667,793
|
161
|
[44912, 48385, 64530, 64531]
| 112,932,764,630
|
162
|
[12424, 116356, 113117, 34796]
| 167,742,437,776
|
163
|
[4204]
| 122,979,634,376
|
164
|
[107882, 109935]
| 155,565,385,280
|
165
|
[4659, 1772]
| 42,469,756,153
|
End of preview. Expand
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Source Paper: https://arxiv.org/abs/1802.06916
Usage
from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset
dataset = CornellTemporalHyperGraphDataset(root = "./", name="threads-ask-ubuntu", 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 MB
Size of the auto-converted Parquet files:
8.83 MB
Number of rows:
333,388