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Knowledge graph (KG) reasoning is an important problem for knowledge graphs.
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Yago: a core of semantic knowledge
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Rnnlogic: Learning logic rules for reasoning on knowledge graphs
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Amie: association rule mining under incomplete evidence in ontological knowledge bases
Luis Antonio Galárraga, Christina Teflioudi, Katja Hose, and Fabian Suchanek. 2013 · 2013
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Neural bellman-ford networks: A general graph neural network framework for link prediction
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, and Jian Tang. 2021 · 2013
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Efficient markov logic inference for natural language semantics
Islam Beltagy and Raymond J Mooney. 2014 · 2014
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Question answering with subgraph embeddings
Antoine Bordes, Sumit Chopra, and Jason Weston. 2014 · 2014
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Yago3: A knowledge base from multilingual wikipedias
Farzaneh Mahdisoltani, Joanna Biega, and Fabian Suchanek. 2014 · 2014
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Embedding entities and relations for learning and inference in knowledge bases
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2014 · 2014
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Fast rule mining in ontological knowledge bases with amie++
Luis Galárraga, Christina Teflioudi, Katja Hose, and Fabian M Suchanek. 2015 · 2015
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Observed versus latent features for knowledge base and text inference
Kristina Toutanova and Danqi Chen. 2015 · 2015
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Ripplenet: Propagating user preferences on the knowledge graph for recommender systems
Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, and Minyi Guo. 2018 · 2018
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A semantic loss function for deep learning with symbolic knowledge
Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, and Guy Broeck. 2018 · 2018
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Neural-symbolic vqa: Disentangling reasoning from vision and language understanding
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Drum: End-to-end differentiable rule mining on knowledge graphs
Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, and Daisy Zhe Wang. 2019 · 2019
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Boxe: A box embedding model for knowledge base completion
Ralph Abboud, Ismail Ceylan, Thomas Lukasiewicz, and Tommaso Salvatori. 2020 · 2020
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Knowledge base completion using embeddings and rules
Quan Wang, Bin Wang, and Li Guo. 2015 · 2015
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Jointly embedding knowledge graphs and logical rules
Shu Guo, Quan Wang, Lihong Wang, Bin Wang, and Li Guo. 2016 · 2016
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Kbgan: Adversarial learning for knowledge graph embeddings
Liwei Cai and William Yang Wang. 2017 · 2017
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Tensorlog: Deep learning meets probabilistic dbs
William W Cohen, Fan Yang, and Kathryn Rivard Mazaitis. 2017 · 2017
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Neuro-symbolic program synthesis
Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, and Pushmeet Kohli. 2017 · 2017
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Explicit semantic ranking for academic search via knowledge graph embedding
Chenyan Xiong, Russell Power, and Jamie Callan. 2017 · 2017
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Differentiable learning of logical rules for knowledge base reasoning
Fan Yang, Zhilin Yang, and William W Cohen. 2017 · 2017
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Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, and Petar Veličković. 2020 · 2020
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Knowledge graph embedding preserving soft logical regularity
Shu Guo, Lin Li, Zhen Hui, Lingshuai Meng, Bingnan Ma, Wei Liu, Lihong Wang, Haibin Zhai, and Hong Zhang. 2020 · 2020
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Ontology reasoning with deep neural networks
Patrick Hohenecker and Thomas Lukasiewicz. 2020 · 2020
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Beta embeddings for multi-hop logical reasoning in knowledge graphs
Hongyu Ren and Jure Leskovec. 2020 · 2020
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Inductive relation prediction by subgraph reasoning
Komal Teru, Etienne Denis, and Will Hamilton. 2020 · 2020
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Why a naive way to combine symbolic and latent knowledge base completion works surprisingly well
Christian Meilicke, Patrick Betz, and Heiner Stuckenschmidt. 2021 · 2021
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Neuro-symbolic artificial intelligence: The state of the art
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Neural compositional rule learning for knowledge graph reasoning
Kewei Cheng, Nesreen K Ahmed, and Yizhou Sun. 2023 · 2023
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Compounding geometric operations for knowledge graph completion
Xiou Ge, Yun Cheng Wang, Bin Wang, and C-C Jay Kuo. 2023 · 2023
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Are message passing neural networks really helpful for knowledge graph completion?
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Simple augmentations of logical rules for neuro-symbolic knowledge graph completion
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Complex embeddings for simple link prediction
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