MHPS: Multimodality-Guided Hierarchical Policy Search for Knowledge Graph Reasoning-Reference-Cited by-同舟云学术

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MHPS: Multimodality-Guided Hierarchical Policy Search for Knowledge Graph Reasoning

Published:2024-04-14 Issue: Volume:1 Page:11096-11100
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Gao Chen¹,Qin Xugong¹,Zhang Peng¹,He Yongquan²,Huang Xinjian¹,Zhou Ming¹,Zhu Liehuang³,Tan Qingfeng⁴

Affiliation:

1. Nanjing University of Science and Technology,School of Cyber Science and Engineering,Nanjing,China

2. Meituan,Bejing,China

3. Beijing Institute of Technology,School of Cyberspace Science and Technology,Beijing,China

4. Guangzhou University,Cyberspace Institute of Advanced Technology,Guangzhou,China

Funder

National Natural Science Foundation of China

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447436.pdf?arnumber=10447436

Reference23 articles.

1. Syntax-Based Graph Matching for Knowledge Base Question Answering

2. BeamQA: Multi-hop Knowledge Graph Question Answering with Sequence-to-Sequence Prediction and Beam Search

3. Contrastive Knowledge Graph Attention Network for Request-Based Recipe Recommendation

4. MMKG: Multi-modal Knowledge Graphs

5. Translating embeddings for modeling multi-relational data;Bordes

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