(self, inputs)
| 52 | use_bias=False) |
| 53 | |
| 54 | def call(self, inputs): |
| 55 | self_embedding, neigh_embedding = inputs |
| 56 | |
| 57 | agg_embedding = self.aggregate(neigh_embedding) |
| 58 | from_self = self.self_layer(self_embedding) |
| 59 | from_neighs = self.neigh_layer(agg_embedding) |
| 60 | |
| 61 | if self.concat: |
| 62 | return tf.concat([from_self, from_neighs], 1) |
| 63 | else: |
| 64 | return tf.add(from_self, from_neighs) |
| 65 | |
| 66 | def aggregate(self, inputs): |
| 67 | raise NotImplementedError() |