Created
January 6, 2022 15:34
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GCN Training
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| for epoch in range(20): | |
| with tf.GradientTape() as tape: | |
| logits = g_model(g.ndata['feat']) | |
| # Loss is only calculated on the training set. | |
| loss = loss_fcn(g.ndata['label'][g.ndata['train_mask']], logits[g.ndata['train_mask']]) | |
| grads = tape.gradient(loss, g_model.trainable_weights) | |
| opt.apply_gradients(zip(grads, g_model.trainable_weights)) |
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