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SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph
  Reasoning
v1v2v3 (latest)

SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
17 January 2022
Yushi Bai
Xin Lv
Juanzi Li
Lei Hou
Yincen Qu
Zelin Dai
Feiyu Xiong
    RALMOffRLLRM
ArXiv (abs)PDFHTMLGithub

Papers citing "SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning"

4 / 4 papers shown
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge
  Graphs
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs
Saiping Guan
Jiyao Wei
Xiaolong Jin
Jiafeng Guo
Xueqi Cheng
LRM
226
3
0
26 Jul 2024
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via
  Sequence Modeling
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence Modeling
Yilin Wen
Biao Luo
Yuqian Zhao
375
2
0
06 Jan 2023
Answering Complex Logical Queries on Knowledge Graphs via Query
  Computation Tree Optimization
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree OptimizationInternational Conference on Machine Learning (ICML), 2022
Yushi Bai
Xin Lv
Juanzi Li
Lei Hou
277
47
0
19 Dec 2022
Generative Knowledge Graph Construction: A Review
Generative Knowledge Graph Construction: A ReviewConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Hongbin Ye
Ningyu Zhang
Hui Chen
Huajun Chen
418
105
0
23 Oct 2022
1
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