Source code for graphscope.analytical.app.voterank
#!/usr/bin/env python3# -*- coding: utf-8 -*-## Copyright 2020 Alibaba Group Holding Limited. All Rights Reserved.## Licensed under the Apache License, Version 2.0 (the "License");# you may not use this file except in compliance with the License.# You may obtain a copy of the License at## http://www.apache.org/licenses/LICENSE-2.0## Unless required by applicable law or agreed to in writing, software# distributed under the License is distributed on an "AS IS" BASIS,# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.# See the License for the specific language governing permissions and# limitations under the License.#fromgraphscope.framework.appimportAppAssetsfromgraphscope.framework.appimportnot_compatible_forfromgraphscope.framework.appimportproject_to_simple__all__=["voterank"]
[docs]@project_to_simple@not_compatible_for("arrow_property","dynamic_property")defvoterank(graph,num_of_nodes=0):"""Evaluate VoteRank on a graph. Args: graph (:class:`graphscope.Graph`): A simple graph. num_of_nodes (unsigned long int, optional): Number of ranked nodes to extract. Default all nodes. Returns: :class:`graphscope.framework.context.VertexDataContextDAGNode`: A context with each vertex assigned with the voterank value, evaluated in eager mode. Examples: .. code:: python >>> import graphscope >>> from graphscope.dataset import load_p2p_network >>> sess = graphscope.session(cluster_type="hosts", mode="eager") >>> g = load_p2p_network(sess) >>> # project to a simple graph (if needed) >>> pg = g.project(vertices={"host": ["id"]}, edges={"connect": ["dist"]}) >>> c = graphscope.voterank(pg, num_of_nodes=10) >>> sess.close() """num_of_nodes=int(num_of_nodes)returnAppAssets(algo="voterank",context="vertex_data")(graph,num_of_nodes)