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
10.8k
| nodes
stringclasses 883
values | timestamp
float64 0
81.3B
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1 | [1, 4] | 36,541,320,000 |
2 | [129, 117, 1] | 38,032,620,000 |
3 | [1, 51] | 39,133,200,000 |
4 | [1, 51] | 39,313,440,000 |
5 | [41, 1] | 39,324,720,000 |
6 | [1, 117] | 39,660,360,000 |
7 | [41, 1] | 40,161,600,000 |
8 | [65, 1] | 41,113,920,000 |
9 | [41, 1] | 41,127,960,000 |
10 | [1, 107] | 41,995,500,000 |
11 | [1, 107] | 42,010,080,000 |
12 | [129, 1] | 42,165,420,000 |
13 | [1, 122] | 42,256,920,000 |
14 | [1, 51] | 42,686,340,000 |
15 | [1, 51] | 42,929,580,000 |
16 | [41, 1] | 44,064,660,000 |
17 | [1, 122, 29] | 44,416,920,000 |
18 | [65, 1, 133, 122, 29, 62] | 48,037,020,000 |
19 | [1, 117] | 48,387,780,000 |
20 | [1, 4] | 49,335,540,000 |
21 | [65, 1] | 49,848,540,000 |
22 | [65, 1] | 49,933,500,000 |
23 | [1, 51] | 51,069,000,000 |
24 | [41, 51, 1] | 51,165,180,000 |
25 | [65, 1] | 52,288,800,000 |
26 | [65, 1, 41] | 52,375,920,000 |
27 | [1, 51] | 52,525,020,000 |
28 | [1, 71] | 52,871,940,000 |
29 | [1, 117] | 53,044,320,000 |
30 | [129, 117, 1] | 53,153,520,000 |
31 | [1, 29] | 53,649,420,000 |
32 | [65, 97, 1, 41, 51, 29] | 53,650,140,000 |
33 | [1, 63] | 54,434,160,000 |
34 | [1, 117] | 54,534,660,000 |
35 | [1, 133, 41, 51, 122, 29] | 54,673,140,000 |
36 | [120, 1] | 54,693,360,000 |
37 | [1, 51] | 54,871,500,000 |
38 | [1, 98] | 55,384,200,000 |
39 | [1, 98] | 55,464,600,000 |
40 | [1, 98] | 55,470,480,000 |
41 | [65, 97, 1, 41, 51, 29] | 56,511,180,000 |
42 | [1, 98] | 56,771,220,000 |
43 | [41, 29, 1] | 56,854,860,000 |
44 | [1, 63] | 57,262,500,000 |
45 | [97, 1, 41, 74, 51, 29] | 57,281,940,000 |
46 | [1, 63] | 57,726,000,000 |
47 | [1, 51] | 57,732,600,000 |
48 | [1, 71] | 57,798,960,000 |
49 | [1, 63] | 58,503,540,000 |
50 | [1, 23] | 59,793,540,000 |
51 | [1, 51] | 60,141,180,000 |
52 | [1, 51] | 60,142,140,000 |
53 | [1, 51] | 61,435,320,000 |
54 | [1, 147] | 61,440,180,000 |
55 | [1, 147] | 61,447,320,000 |
56 | [1, 4] | 61,683,780,000 |
57 | [1, 23] | 62,045,580,000 |
58 | [65, 1] | 62,119,620,000 |
59 | [41, 51, 29, 1] | 62,301,000,000 |
60 | [1, 51] | 63,490,800,000 |
61 | [1, 29] | 64,533,300,000 |
62 | [41, 51, 29, 1] | 65,221,320,000 |
64 | [41, 51, 1] | 65,829,660,000 |
65 | [97, 1] | 65,833,680,000 |
67 | [57, 1] | 66,538,740,000 |
68 | [1, 63] | 67,050,720,000 |
69 | [1, 133, 41, 29, 62] | 67,126,020,000 |
70 | [1, 51] | 67,469,340,000 |
71 | [1, 125] | 68,346,660,000 |
72 | [1, 51] | 68,670,660,000 |
73 | [41, 51, 1] | 68,671,080,000 |
74 | [41, 1] | 69,196,620,000 |
75 | [1, 63] | 69,213,540,000 |
76 | [41, 1] | 69,451,800,000 |
77 | [41, 51, 1] | 69,543,240,000 |
78 | [41, 1] | 69,894,600,000 |
79 | [41, 51, 1] | 69,966,420,000 |
80 | [8, 1] | 70,167,120,000 |
81 | [41, 1] | 70,403,880,000 |
82 | [112, 1] | 70,434,960,000 |
83 | [41, 1] | 70,509,900,000 |
84 | [41, 51, 1] | 70,571,280,000 |
85 | [1, 29] | 71,017,320,000 |
86 | [1, 29] | 71,020,200,000 |
87 | [1, 142] | 71,021,460,000 |
88 | [41, 51, 1] | 71,180,220,000 |
89 | [1, 51] | 71,810,640,000 |
90 | [1, 51] | 71,812,200,000 |
91 | [41, 51, 29, 1] | 71,872,680,000 |
92 | [136, 1] | 71,968,200,000 |
93 | [1, 51] | 71,979,660,000 |
94 | [41, 1] | 72,817,080,000 |
95 | [1, 63] | 72,916,680,000 |
96 | [1, 4] | 73,011,180,000 |
97 | [120, 1] | 73,438,860,000 |
98 | [1, 62] | 73,540,440,000 |
99 | [120, 1] | 73,712,100,000 |
100 | [41, 51, 29, 1] | 74,642,160,000 |
101 | [1, 63] | 74,659,500,000 |
102 | [136, 1] | 74,891,160,000 |
Source Paper: https://arxiv.org/abs/1802.06916
from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset
dataset = CornellTemporalHyperGraphDataset(root = "./", name="email-Enron", 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}
}