Hugging Face's logo

Datasets:
SauravMaheshkar
/
contact-high-school

Tasks:
Graph Machine Learning
Modalities:
Tabular
Text
Size:
100K - 1M
ArXiv:
License:
Dataset card Viewer Files Community
Dataset Viewer
Auto-converted to Parquet
Full Screen
hyperedge
int64
1
120k
nodes
stringlengths
6
25
timestamp
float64
0
255k
1
[1, 2]
0
2
[9, 11]
0
4
[45, 46]
0
7
[41, 42]
0
8
[28, 29]
0
9
[57, 58]
0
10
[59, 60]
0
11
[8, 7]
0
12
[18, 19, 20]
0
13
[14, 15]
0
14
[30, 31]
0
16
[51, 52]
0
17
[34, 35]
0
19
[49, 50]
0
20
[44, 45]
0
21
[36, 37]
0
22
[3, 4]
0
23
[12, 13]
0
24
[53, 54]
0
25
[48, 47]
0
26
[9, 10]
0
27
[43, 15]
0
28
[16, 61]
0
29
[36, 38]
0
30
[21, 22]
0
31
[27, 22]
0
32
[5, 6]
0
33
[24, 23]
0
34
[67, 68]
20
35
[1, 2]
20
36
[9, 11]
20
38
[45, 46]
20
41
[66, 7]
20
43
[41, 42]
20
44
[59, 60]
20
45
[8, 7]
20
46
[74, 75]
20
47
[18, 19, 20]
20
48
[37, 70]
20
50
[67, 69]
20
51
[34, 35]
20
53
[49, 50]
20
54
[44, 45]
20
55
[37, 7]
20
56
[3, 4]
20
57
[12, 13]
20
58
[53, 54]
20
59
[48, 47]
20
61
[9, 10]
20
62
[43, 15]
20
63
[16, 61]
20
64
[62, 63]
20
65
[27, 22]
20
66
[5, 6]
20
67
[24, 23]
20
68
[72, 73]
20
69
[1, 2]
40
70
[9, 11]
40
71
[44, 45, 46]
40
74
[66, 7]
40
76
[58, 78]
40
77
[41, 42]
40
78
[59, 60]
40
79
[8, 7]
40
80
[18, 19, 20]
40
81
[14, 15]
40
83
[78, 79]
40
84
[37, 70]
40
86
[51, 52]
40
87
[67, 69]
40
88
[34, 35]
40
89
[82, 83]
40
91
[49, 50]
40
92
[37, 7]
40
93
[3, 4]
40
94
[12, 13]
40
95
[53, 54]
40
97
[80, 81]
40
98
[3, 7]
40
99
[9, 10]
40
100
[43, 15]
40
101
[16, 61]
40
102
[21, 22]
40
103
[27, 22]
40
104
[5, 6]
40
105
[24, 23]
40
106
[1, 2]
60
107
[10, 11]
60
108
[44, 45, 46]
60
109
[28, 85]
60
111
[66, 7]
60
114
[41, 42]
60
115
[59, 60]
60
116
[8, 7]
60
117
[57, 84]
60
118
[18, 19, 20]
60
119
[43, 14, 15]
60
120
[30, 31]
60
121
[78, 79]
60
123
[51, 52]
60
End of preview. Expand in Dataset Viewer.

Source Paper: https://arxiv.org/abs/1802.06916

Usage 

from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset

dataset = CornellTemporalHyperGraphDataset(root = "./", name="contact-high-school", 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}
}
Downloads last month
63
Edit dataset card
Size of downloaded dataset files:
8.07 MB
Size of the auto-converted Parquet files:
2.62 MB
Number of rows:
297,224

Models trained or fine-tuned on SauravMaheshkar/contact-high-school

Collection including SauravMaheshkar/contact-high-school