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Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks

Introduction

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks_image_1

centrality 是在说结果和节点的connectivity有关。但是这不是知道网络结构自然就知道了么?

flexibility,input score不限定于特定的类型,但是别的方法不应该的也不限定么?

Methodology

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks_image_2

Objective:

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks_image_3

所以没有signal给到的节点对objective是没有直接影响,只能通过和其他节点的连边去影响。

Evaluation

除了PR,PPR,HAR这些之外,还和一众传统的的有监督方法进行了对比 (LR,RF,MLP,以及一个基础的GNN)

Thinking and Conclusion


Last update : February 13, 2023
Created : February 13, 2023