Datasets:

SauravMaheshkar
/

threads-ask-ubuntu

hyperedge int64 1 193k	nodes stringlengths 3 85	timestamp float64 18.5B 201B
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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
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15	[2244, 582]	51,796,881,433
16	[144648, 142428]	192,354,661,226
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18	[51145]	99,828,872,353
19	[137698, 61263]	194,333,702,330
21	[7290, 30806]	80,604,263,686
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26	[84545, 169]	130,928,616,140
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29	[45889, 45894]	95,022,039,880
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86	[59730, 62950]	111,302,368,470
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90	[55566]	112,847,079,743
91	[63553, 65510]	113,776,782,436
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95	[35770]	92,678,585,743
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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
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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 in Dataset Viewer.

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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333,388

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