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Solve Issue #3 & #4 #5

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2 changes: 1 addition & 1 deletion MessageFunction.py
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Original file line number Diff line number Diff line change
Expand Up @@ -171,7 +171,7 @@ def m_mpnn(self, h_v, h_w, e_vw, opt={}):
edge_output = self.learn_modules[0](e_vw)
edge_output = edge_output.view(-1, self.args['out'], self.args['in'])

h_w_rows = h_w[..., None].expand(h_w.size(0), h_v.size(1), h_w.size(1)).contiguous()
h_w_rows = h_w[..., None].expand(h_w.size(0), h_w.size(1), h_v.size(1)).contiguous()

h_w_rows = h_w_rows.view(-1, self.args['in'])

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2 changes: 1 addition & 1 deletion ReadoutFunction.py
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Expand Up @@ -165,7 +165,7 @@ def r_mpnn(self, h):
nn_res = nn.Sigmoid()(self.learn_modules[0](torch.cat([h[0][i,:,:], h[-1][i,:,:]], 1)))*self.learn_modules[1](h[-1][i,:,:])

# Delete virtual nodes
nn_res = (torch.sum(h[0][i,:,:],1).expand_as(nn_res)>0).type_as(nn_res)* nn_res
nn_res = (torch.sum(h[0][i,:,:],1)[...,None].expand_as(nn_res)>0).type_as(nn_res)* nn_res

aux[i,:] = torch.sum(nn_res,0)

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2 changes: 1 addition & 1 deletion models/MPNN.py
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Expand Up @@ -86,7 +86,7 @@ def forward(self, g, h_in, e):
h_t = self.u[0].forward(h[t], m)

# Delete virtual nodes
h_t = (torch.sum(h_in, 2).expand_as(h_t) > 0).type_as(h_t) * h_t
h_t = (torch.sum(h_in, 2)[..., None].expand_as(h_t) > 0).type_as(h_t) * h_t
h.append(h_t)

# Readout
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3 changes: 2 additions & 1 deletion requirements.txt
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Expand Up @@ -2,6 +2,7 @@ torch
torchvision
numpy
wget
networkx
networkx=1.11
joblib
tensorboard
tensorboard_logger