42 lines
970 B
Python
42 lines
970 B
Python
import torch
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import torch.nn as nn
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from torch_geometric.nn import MessagePassing
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from torch.nn.utils import spectral_norm
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class FiniteDifferenceStep(MessagePassing):
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"""
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TODO: add docstring.
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"""
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def __init__(self):
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super().__init__(aggr="add")
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def forward(self, x, edge_index, edge_attr, deg):
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"""
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TODO: add docstring.
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"""
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out = self.propagate(edge_index, x=x, edge_attr=edge_attr, deg=deg)
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return out
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def message(self, x_j, edge_attr):
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"""
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TODO: add docstring.
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"""
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# return self.message_net(x_j * edge_attr)
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return x_j * edge_attr
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def update(self, aggr_out, _):
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"""
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TODO: add docstring.
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"""
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return aggr_out
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def aggregate(self, inputs, index, deg):
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"""
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TODO: add docstring.
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"""
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out = super().aggregate(inputs, index)
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deg = deg + 1e-7
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return out / deg.view(-1, 1)
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