Zero-shot Node Classification with Decomposed Graph Prototype Network

Author:

Wang Zheng1,Wang Jialong2,Guo Yuchen3,Gong Zhiguo2

Affiliation:

1. University of Macau & University of Science and Technology Beijing, Macau, China

2. University of Macau, Macau, China

3. Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

GSTIC

University of Macau

Fundamental Research Funds for the Central Universities

National Key D&R Program of China

Macao Youth Scholars Program

The Science and Technology Development Fund, Macau SAR

Publisher

ACM

Reference45 articles.

1. Jacob Andreas. 2018. Measuring Compositionality in Representation Learning. In ICLR. Jacob Andreas. 2018. Measuring Compositionality in Representation Learning. In ICLR.

2. Semi-supervised learning [book reviews];Chapelle Olivier;IEEE TNN,2009

3. Michaël Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In NIPS. 3844--3852. Michaël Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In NIPS. 3844--3852.

Cited by 19 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. BlockAgents: Towards Byzantine-Robust LLM-Based Multi-Agent Coordination via Blockchain;ACM Turing Award Celebration Conference 2024;2024-07-05

2. Zero-shot Heterogeneous Graph Embedding via Aggregating Metapath Semantically;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Boosting Zero-Shot Node Classification via Dependency Capture and Discriminative Feature Learning;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Multimodal Knowledge Graph Embedding With Missing Data Integration;IEEE Transactions on Computational Social Systems;2024

5. Informative Nodes Mining for Class-Imbalanced Representation Learning;IEEE Transactions on Computational Social Systems;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3