Published August 13, 2021
| Version v1
Dataset
Open
WtaGraph: Web Tracking and Advertising Detection using Graph Neural Networks
Description
Dataset release for our IEEE Symposium on Security and Privacy 2022 paper entitled "WtaGraph: Web Tracking and Advertising Detection using Graph Neural Networks"
These files are pretty self-explanatory: there are node/edge features of a specified (full graph or random 5K graph).
To use these files, make sure to check out GitHub here. Basically, you need put each of these files in a correct folder as detailed on GitHub.
Files
Files
(31.6 GB)
| Name | Size | Download all |
|---|---|---|
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md5:f7b84fb611e6df2b5297d2ebbd18729e
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20.4 GB | Download |
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md5:629642736f1f8b3410730591d456a8af
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12.5 MB | Download |
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md5:a0482555f38e093528bd132c1d458811
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29.4 MB | Download |
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md5:4e53012248dd179447e1ca8ff8292ac8
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433.6 MB | Download |
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md5:a8e2c3391569f6778d68dea458064c24
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1.4 MB | Download |
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md5:0c3dd3ef8646a76e3d34d290bcd9b580
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130.9 MB | Download |
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md5:1e7c20cd393a950a553432fd46b9aaaf
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10.3 GB | Download |
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md5:a6aab403e6bc2d1d9ce8c1d638ed2101
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6.3 MB | Download |
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md5:5dabd4352c3b306dd7a220e10a703578
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14.3 MB | Download |
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md5:c0625d2baa8e622856fbb96f0f43de01
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219.3 MB | Download |
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md5:75610751cfe3698cc8d17085cf083bc9
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810.5 kB | Download |
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md5:7603fc72cac34612ed2f77fb79fee8fb
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74.6 MB | Download |