Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks (Extended Abstract)-Reference-Cited by-同舟云学术

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Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks (Extended Abstract)

Published:2021-04 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 37th International Conference on Data Engineering (ICDE)
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Author:

Tam Nguyen Thanh,Trung Huynh Thanh,Yin Hongzhi,Van Vinh Tong,Sakong Darnbi,Zheng Bolong,Hung Nguyen Quoc Viet

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9458599/9458600/09458674.pdf?arnumber=9458674

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey: knowledge graph entity alignment research based on graph embedding;Artificial Intelligence Review;2024-08-03

2. Leveraging multimodal features for knowledge graph entity alignment based on dynamic self-attention networks;Expert Systems with Applications;2023-10

3. Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

4. An effective knowledge graph entity alignment model based on multiple information;Neural Networks;2023-05

5. Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks;ACM Transactions on Information Systems;2023-02-07

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