# MaxPooling¶

class dgl.nn.mxnet.glob.MaxPooling[source]

Bases: mxnet.gluon.block.Block

Apply max pooling over the nodes in the graph.

$r^{(i)} = \max_{k=1}^{N_i} \left( x^{(i)}_k \right)$
forward(graph, feat)[source]

Compute max pooling.

Parameters
• graph (DGLGraph) – The graph.

• feat (mxnet.NDArray) – The input feature with shape $$(N, *)$$ where $$N$$ is the number of nodes in the graph.

Returns

The output feature with shape $$(B, *)$$, where $$B$$ refers to the batch size.

Return type

mxnet.NDArray