Source code for pgl.nn.functional.graph_op

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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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import paddle
import paddle.nn as nn

__all__ = ["degree_norm"]


[docs]def degree_norm(graph, mode="indegree"): assert mode in [ 'indegree', 'outdegree' ], "The degree_norm mode should be in ['indegree', 'outdegree']. But recieve mode=%s" % mode if mode == "indegree": degree = graph.indegree() elif mode == "outdegree": degree = graph.outdegree() norm = paddle.cast(degree, dtype=paddle.get_default_dtype()) norm = paddle.clip(norm, min=1.0) norm = paddle.pow(norm, -0.5) norm = paddle.reshape(norm, [-1, 1]) return norm