Graph Neural Networks for Tabular Data Learning-Reference-Cited by-同舟云学术

Graph Neural Networks for Tabular Data Learning

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 39th International Conference on Data Engineering (ICDE)
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Author:

Li Cheng-Te¹,Tsai Yu-Che²,Liao Jay Chiehen¹

Affiliation:

1. National Cheng Kung University,Institute of Data Science,Tainan,Taiwan

2. National Taiwan University,Dept. of CSIE,Taipei,Taiwan

Funder

National Science and Technology Council

Academia Sinica

National Cheng Kung University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10184508/10184509/10184514.pdf?arnumber=10184514

Reference33 articles.

1. Inductive representation learning on large graphs;hamilton;Proceedings of the 31st International Conference on Neural Information Processing Systems,2017

2. Tabgnn: Multiplex graph neural network for tabular data prediction;guo;The 3rd Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD (DLP-KDD),2021

3. Heterogeneous Graph Transformer

4. Medgraph: Structural and temporal representation learning of electronic medical records;hettige;European Conference on Artificial Intelligence (ECAI),2020

5. A Comprehensive Survey on Graph Neural Networks

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