#!/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__=["lpa","cdlp","lpa_u2i"]
[docs]@project_to_simple@not_compatible_for("arrow_property","dynamic_property")deflpa(graph,max_round=10):"""Evaluate Community Detection with Label Propagation. Args: graph (:class:`graphscope.Graph`): A simple graph. max_round (int, optional): Maximum rounds. Defaults to 10. Returns: :class:`graphscope.framework.context.VertexDataContextDAGNode`: A context with each vertex assigned with a community ID, will be 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.lpa(pg, max_round=10) >>> sess.close() """max_round=int(max_round)returnAppAssets(algo="cdlp",context="vertex_data")(graph,max_round)
[docs]@not_compatible_for("dynamic_property","arrow_projected","dynamic_projected","arrow_flattened")deflpa_u2i(graph,max_round=10):"""Evaluate (multi-) label propagation on a property graph. Args: graph (:class:`graphscope.Graph`): A property graph. max_round (int, optional): Maximum number of rounds. Defaults to 10. Returns: :class:`graphscope.framework.context.LabeledVertexPropertyContextDAGNode`: A context with each vertex, following an array of propagated labels, evaluated in eager mode. Examples: .. code:: python import graphscope as gs g = gs.g() # Load some data r = gs.lpa(g) s.close() """max_round=int(max_round)returnAppAssets(algo="lpau2i",context="labeled_vertex_property")(graph,max_round)