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Project.toml
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26 lines (25 loc) · 1.13 KB
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[deps]
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
DemoCards = "311a05b2-6137-4a5a-b473-18580a3d38b5"
Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
DocumenterInterLinks = "d12716ef-a0f6-4df4-a9f1-a5a34e75c656"
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
GNNGraphs = "aed8fd31-079b-4b5a-b342-a13352159b8c"
GNNlib = "a6a84749-d869-43f8-aacc-be26a1996e48"
GraphMakie = "1ecd5474-83a3-4783-bb4f-06765db800d2"
GraphNeuralNetworks = "cffab07f-9bc2-4db1-8861-388f63bf7694"
Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
TSne = "24678dba-d5e9-5843-a4c6-250288b04835"
cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"
[compat]
Literate = "2.20"