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Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

21 March 2019
Wen Zhang
B. Paudel
Liang Wang
Jiaoyan Chen
Hai Zhu
Wei Zhang
Abraham Bernstein
Huajun Chen
ArXivPDFHTML

Papers citing "Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning"

20 / 20 papers shown
Title
Pathformer: Recursive Path Query Encoding for Complex Logical Query
  Answering
Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering
Chongzhi Zhang
Zhiping Peng
Junhao Zheng
Linghao Wang
Ruifeng Shi
Qianli Ma
41
1
0
21 Jun 2024
Ontology Embedding: A Survey of Methods, Applications and Resources
Ontology Embedding: A Survey of Methods, Applications and Resources
Jiaoyan Chen
Olga Mashkova
Fernando Zhapa-Camacho
R. Hoehndorf
Yuan He
Ian Horrocks
50
4
0
16 Jun 2024
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
Christoph Wehner
Chrysa Iliopoulou
Ute Schmid
Tarek R. Besold
58
0
0
03 Jun 2024
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors
Yongquan He
Zhihan Wang
Peng Zhang
Zhaopeng Tu
Z. Ren
26
20
0
21 Feb 2024
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
Siheng Xiong
Yuan Yang
Faramarz Fekri
J. C. Kerce
46
49
0
19 Feb 2024
A Comprehensive Study on Knowledge Graph Embedding over Relational
  Patterns Based on Rule Learning
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning
Long Jin
Zhen Yao
Mingyang Chen
Hua-zeng Chen
Wen Zhang
19
3
0
15 Aug 2023
Do as I can, not as I get
Do as I can, not as I get
Shangfei Zheng
Hongzhi Yin
Tong Chen
Quoc Viet Hung Nguyen
Wei Chen
Lei Zhao
26
1
0
17 Jun 2023
Knowledge Graphs Querying
Knowledge Graphs Querying
Arijit Khan
26
16
0
23 May 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
L. Delong
Ramon Fernández Mir
Jacques D. Fleuriot
NAI
28
12
0
14 Feb 2023
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules
Yinyu Lan
Shizhu He
Kang Liu
Jun Zhao
16
3
0
07 Jan 2023
Learning Relation-Specific Representations for Few-shot Knowledge Graph
  Completion
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion
Yuling Li
Kui Yu
Yuhong Zhang
Xindong Wu
18
3
0
22 Mar 2022
Neural Theorem Provers Delineating Search Area Using RNN
Neural Theorem Provers Delineating Search Area Using RNN
Yu-hao Wu
Hou-Biao Li
LRM
25
1
0
14 Mar 2022
NeuralKG: An Open Source Library for Diverse Representation Learning of
  Knowledge Graphs
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs
Wen Zhang
Xian-gan Chen
Zhen Yao
Mingyang Chen
Yushan Zhu
...
Yajing Xu
Ningyu Zhang
Zonggang Yuan
Feiyu Xiong
Huajun Chen
24
12
0
25 Feb 2022
Representation Learning on Heterostructures via Heterogeneous Anonymous
  Walks
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks
X. Guo
Pengfei Jiao
Ting Pan
Wang Zhang
Mengyu Jia
Danyang Shi
Wenjun Wang
19
1
0
18 Jan 2022
Perform Like an Engine: A Closed-Loop Neural-Symbolic Learning Framework
  for Knowledge Graph Inference
Perform Like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference
Guanglin Niu
Bo-wen Li
Yongfei Zhang
Shi Pu
14
4
0
02 Dec 2021
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Jing Zhang
Bo Chen
Lingxi Zhang
Xirui Ke
Haipeng Ding
NAI
30
3
0
12 Oct 2020
Heterogeneous Network Representation Learning: A Unified Framework with
  Survey and Benchmark
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark
Carl Yang
Yuxin Xiao
Yu Zhang
Yizhou Sun
Jiawei Han
AI4TS
44
57
0
01 Apr 2020
What is Normal, What is Strange, and What is Missing in a Knowledge
  Graph: Unified Characterization via Inductive Summarization
What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization
Caleb Belth
Xinyi Zheng
Jilles Vreeken
Danai Koutra
23
43
0
23 Mar 2020
Relation Adversarial Network for Low Resource Knowledge Graph Completion
Relation Adversarial Network for Low Resource Knowledge Graph Completion
Ningyu Zhang
Shumin Deng
Zhanlin Sun
Jiaoayan Chen
Wei Zhang
Huajun Chen
15
71
0
08 Nov 2019
Image-embodied Knowledge Representation Learning
Image-embodied Knowledge Representation Learning
Ruobing Xie
Zhiyuan Liu
Huanbo Luan
Maosong Sun
122
211
0
22 Sep 2016
1