Learnable epsilon in GIN - #697
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aurorarossi wants to merge 6 commits into
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needs a rebase |
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| GINConv(nn, ϵ; aggr = +) = GINConv(nn, ϵ, aggr) | ||
| GINConv(nn, ϵ::Real; aggr = +, train_eps::Bool = false) = | ||
| GINConv(nn, train_eps ? [ϵ] : ϵ, aggr, train_eps) |
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| GINConv(nn, train_eps ? [ϵ] : ϵ, aggr, train_eps) | |
| GINConv(nn, train_eps ? Float32[ϵ] : ϵ, aggr, train_eps) |
Maybe this is safer?
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| GINConv(nn, ϵ; aggr = +) = GINConv(nn, ϵ, aggr) | ||
| GINConv(nn, ϵ::Real; aggr = +, train_eps::Bool = false) = | ||
| GINConv(nn, train_eps ? [ϵ] : ϵ, aggr, train_eps) |
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Suggested change
| GINConv(nn, train_eps ? [ϵ] : ϵ, aggr, train_eps) | |
| GINConv(nn, train_eps ? Float32[ϵ] : ϵ, aggr, train_eps) |
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This PR adds PyTorch Geometric-style
ϵandtrain_epsoptions toGINConvfor both Flux and Lux.