HyperGraph Datasets
Collection
Collection of HyperGraph Datasets
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17 items
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Updated
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7
hyperedge
int64 1
190k
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stringlengths 3
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float64 2.23B
222B
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1 | [1, 2] | 48,942,985,907 |
2 | [3, 4, 5] | 48,944,035,260 |
3 | [8, 6, 7] | 48,944,144,880 |
4 | [9, 10, 11, 12, 13] | 48,944,145,834 |
5 | [14, 15] | 48,944,187,157 |
6 | [16, 17, 18] | 48,944,205,644 |
7 | [19, 20] | 48,944,330,880 |
8 | [4, 21] | 48,944,354,450 |
9 | [19] | 48,944,481,514 |
11 | [4] | 48,944,534,724 |
13 | [29, 6] | 48,944,834,137 |
14 | [9] | 48,944,952,167 |
15 | [4, 30] | 48,944,959,450 |
16 | [9, 31] | 48,945,107,917 |
17 | [8, 33, 32] | 48,945,113,064 |
18 | [34, 35] | 48,945,144,514 |
19 | [36] | 48,945,186,367 |
20 | [16, 37, 38] | 48,945,256,474 |
23 | [43, 44, 45] | 48,945,511,970 |
24 | [48, 46, 47] | 48,945,607,677 |
26 | [50, 51] | 48,945,733,584 |
27 | [52, 22, 6] | 48,945,920,147 |
28 | [53, 54, 55] | 48,945,955,744 |
30 | [16, 60] | 48,946,176,780 |
31 | [61] | 48,946,339,690 |
32 | [26, 27, 62] | 48,946,564,720 |
33 | [64, 61, 63] | 48,946,619,744 |
34 | [65, 53] | 48,946,675,544 |
37 | [72, 70, 71] | 48,946,988,324 |
38 | [73, 74, 75, 76, 22] | 48,946,998,637 |
39 | [74, 61] | 48,947,032,427 |
41 | [80, 70, 79] | 48,947,342,804 |
43 | [48, 11, 83] | 48,948,225,670 |
44 | [84] | 48,948,274,730 |
45 | [88, 85, 86, 87] | 48,948,541,164 |
46 | [89, 90, 91] | 48,948,852,977 |
47 | [92, 93, 94] | 48,949,722,770 |
49 | [8] | 48,949,959,017 |
50 | [88, 43] | 48,950,347,864 |
51 | [98, 99] | 48,950,665,277 |
54 | [105, 106, 107] | 48,952,227,240 |
55 | [61, 53] | 48,952,874,667 |
56 | [108, 109, 110, 111] | 48,953,179,814 |
57 | [112] | 48,954,399,190 |
58 | [9, 53, 113] | 48,955,193,814 |
59 | [114, 115, 19, 116, 117] | 48,955,324,920 |
60 | [17, 85, 118] | 48,956,419,580 |
61 | [19, 11, 61, 53] | 48,956,526,910 |
62 | [98, 67, 119] | 48,956,969,194 |
63 | [120] | 48,957,937,124 |
64 | [121] | 48,958,056,900 |
65 | [122, 123] | 48,958,445,144 |
66 | [124, 125] | 48,959,543,584 |
67 | [65, 126, 127] | 48,959,754,950 |
68 | [128, 129, 61, 6] | 48,960,049,667 |
69 | [130] | 48,960,509,340 |
70 | [131, 132] | 48,960,663,750 |
71 | [133] | 48,960,793,434 |
72 | [131, 134, 135, 136, 61] | 48,960,877,427 |
73 | [8, 137] | 48,968,038,744 |
74 | [89, 138, 139, 22] | 48,968,130,580 |
75 | [56, 115, 140] | 48,968,181,717 |
76 | [141, 142] | 48,968,713,800 |
77 | [144, 129, 143] | 48,969,424,787 |
78 | [145, 146] | 48,971,200,144 |
80 | [16, 149, 150] | 48,976,454,354 |
81 | [151] | 48,978,196,057 |
82 | [32, 137, 153, 152] | 48,979,860,160 |
84 | [156, 67, 155, 21] | 48,981,673,324 |
86 | [6, 9, 22, 61, 159] | 48,983,038,287 |
88 | [54] | 48,990,918,130 |
89 | [161, 162, 163, 164, 37] | 48,991,950,427 |
90 | [45, 165, 166, 167] | 48,992,876,384 |
92 | [128, 169] | 48,993,706,864 |
93 | [9, 6] | 48,994,239,937 |
94 | [170, 171] | 48,994,854,467 |
95 | [169, 172, 110, 81, 63] | 48,996,467,760 |
96 | [173, 174] | 48,997,537,827 |
97 | [11, 175] | 48,998,882,644 |
98 | [176, 153] | 48,999,089,237 |
99 | [4] | 49,001,358,260 |
100 | [177, 178, 92, 165] | 49,002,262,744 |
101 | [4] | 49,003,165,357 |
102 | [98, 12] | 49,004,472,504 |
103 | [179, 180] | 49,004,505,874 |
104 | [181] | 49,006,275,674 |
106 | [41, 183] | 49,008,103,050 |
107 | [184, 61] | 49,008,866,937 |
108 | [185, 12] | 49,009,217,484 |
109 | [2, 41, 42, 49, 26] | 49,010,024,347 |
110 | [186, 26] | 49,010,229,207 |
111 | [8, 57, 176] | 49,012,073,500 |
112 | [155, 187, 181] | 49,013,836,660 |
113 | [1, 125, 157] | 49,019,070,544 |
115 | [57, 187] | 49,022,223,057 |
116 | [16, 41] | 49,024,137,374 |
117 | [190, 14] | 49,024,827,307 |
118 | [14, 191] | 49,027,870,027 |
119 | [192, 193, 194] | 49,028,743,494 |
121 | [26, 197, 198] | 49,035,067,647 |
Source Paper: https://arxiv.org/abs/1802.06916
from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset
dataset = CornellTemporalHyperGraphDataset(root = "./", name="tags-ask-ubuntu", split="train")
@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}
}