Volume : X, Issue : V, May - 2020

Convergence to a Diffusion Processes on Graphs

B. Malathi, S. Chelliah

Abstract :

Nowadays, graph representation learning has aroused a lot of research interest, which aims to learn the latent low dimensional representations of graph nodes, while preserving the graph structure. In many examples distances are equivalent to a snow flake of the natural distance on space. Based on the local smooth assumption, some existing methods have achieved significant success. Diffusion in narrow tubes processes with fast transmutations and convergence to a 𝔇 diffusion process on a graph. To alleviate this issue propose a graph Diffusion Network that can dynamically preserve local and global consistency of graph.

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Article: Download PDF    DOI : 10.36106/ijar  

Cite This Article:

CONVERGENCE TO A DIFFUSION PROCESSES ON GRAPHS, B.Malathi, S.Chelliah INDIAN JOURNAL OF APPLIED RESEARCH : Volume-10 | Issue-5 | May-2020

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