paint-brush

This story draft by @computational has not been reviewed by an editor, YET.

Generalization Performance in Graph Neural Networks (GNNs): Proof of Theorem

featured image - Generalization Performance in Graph Neural Networks (GNNs): Proof of Theorem
Computational Technology for All HackerNoon profile picture
Computational Technology for All

Computational Technology for All

@computational

Computational: We take random inputs, follow complex steps, and hope the output makes sense. And then blog about it.

LEARN MORE ABOUT @COMPUTATIONAL'S
EXPERTISE AND PLACE ON THE INTERNET.
0-item

STORY’S CREDIBILITY

Academic Research Paper

Academic Research Paper

Part of HackerNoon's growing list of open-source research papers, promoting free access to academic material.

Authors:

(1) Junwei Su, Department of Computer Science, the University of Hong Kong and jwsu@cs.hku.hk;

(2) Chuan Wu, Department of Computer Science, the University of Hong Kong and cwu@cs.hku.hk.

Table of Links

Abstract and 1 Introduction

2 Related Work

3 Framework

4 Main Results

5 A Case Study on Shortest-Path Distance

6 Conclusion and Discussion, and References

7 Proof of Theorem 1

8 Proof of Theorem 2

9 Procedure for Solving Eq. (6)

10 Additional Experiments Details and Results

11 Other Potential Applications

7 Proof of Theorem 1

image


image


image


This paper is available on arxiv under CC BY 4.0 DEED license.


L O A D I N G
. . . comments & more!

About Author

Computational Technology for All HackerNoon profile picture
Computational Technology for All@computational
Computational: We take random inputs, follow complex steps, and hope the output makes sense. And then blog about it.

Topics

Around The Web...

Read on Terminal Reader
Read this story in a terminal
 Terminal
Read this story w/o Javascript
Read this story w/o Javascript
 Lite
Also published here
X REMOVE AD