Apr 24, 2019 · Understanding Information Diffusion via Heterogeneous Information Network Embeddings · 1 Introduction · 2 Overview · 3 Construction of User- ...
A heterogeneous information network is constructed consisting of users and contagions as two types of objects, and a novel random walk algorithm is proposed ...
To this end, we construct a heterogeneous information network consisting of users and contagions as two types of objects, and propose a novel random walk ...
Apr 24, 2019 · We construct a heterogeneous information network consisting of users and contagions as two types of objects, and propose a novel random walk algorithm.
To this end, we construct a heterogeneous information network consisting of users and contagions as two types of objects, and propose a novel random walk ...
Mar 15, 2022 · MPQR learns multiperspective representations of question answerers, question raisers and questions based on a heterogeneous information network (HIN).
Nov 2, 2019 · In this paper, information diffusion is considered through a latent represen- tation learning of the heterogeneous networks to encode in a deep ...
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Understanding Information Diffusion via Heterogeneous Information Network Embeddings. ... Learning social network embeddings for predicting information diffusion.
Diffusion of information in complex networks largely depends on the network structure. Recent studies have mainly addressed information diffusion in ...
In this retrospective paper, we will review the development of. HINs and meta-path in Section 2, summarize the recent advances on heterogeneous network ...