THU-KEG / Knowledge_graph_reasoning_papers
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Knowledge Graph Reasoning Papers
Multi-Hop Reasoning (h, r, ?)
Predict the missing tail entity and corresponding supporting paths in one triple.
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Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum. ICLR 2018. paper code
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M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search. Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao. NeurIPS 2018. paper code
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Multi-Hop Knowledge Graph Reasoning with Reward Shaping. Xi Victoria Lin, Richard Socher, Caiming Xiong. EMNLP 2018. paper code
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Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu. EMNLP 2019. paper code
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DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning. Ruiping Li, Xiang Cheng. EMNLP 2019. paper code
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Collaborative Policy Learning for Open Knowledge Graph Reasoning. Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren. EMNLP 2019. paper code
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Reasoning on Knowledge Graphs with Debate Dynamics. Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp. AAAI 2020. paper code
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Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning. Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari. IJCAI 2020. paper
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Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning. Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren. EMNLP 2020. paper code
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Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph. Xin Lv, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Wei Zhang, Yichi Zhang, Hao Kong, Suhui Wu. EMNLP 2020. paper code
Multi-Hop Reasoning (h, ?, t)
Given head and tail entity and paths between them, predict the missing relation.
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Random walk inference and learning in a large scale knowledge base. Ni Lao, Tom Mitchell, William W. Cohen. EMNLP 2011. paper
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Compositional vector space models for knowledge base inference. Arvind Neelakantan, Benjamin Roth, Andrew McCallum. ACL 2015. paper
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Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum. EACL 2017. paper code
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DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning. Wenhan Xiong, Thien Hoang, William Yang Wang. EMNLP 2017. paper code
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Variational Knowledge Graph Reasoning. Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang. NAACL 2018. paper
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Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning. Heng Wang, Shuangyin Li, Rong Pan, Mingzhi Mao. EMNLP 2019. paper code
Rule Mining/Learning
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Fast rule mining in ontological knowledge bases with AMIE+. Luis Galárraga, Christina Teflioudi, Katja Hose, Fabian M. Suchanek. VLDB Journal 2015. paper code
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Scalable Rule Learning via Learning Representation. Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang. IJCAI 2018. paper code
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Rule Learning from Knowledge Graphs Guided by Embedding Models. V. Thinh Ho, D. Stepanova, M. Gad-Elrab, E. Kharlamov, G. Weikum. ISWC 2018. paper code
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Anytime Bottom-Up Rule Learning for Knowledge Graph Completion. Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt. IJCAI 2019. paper code
Rule-based Reasoning
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Differentiable Learning of Logical Rules for Knowledge Base Reasoning. Fan Yang, Zhilin Yang, William W. Cohen. NeurIPS 2017. paper code
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End-to-End Differentiable Proving. Tim Rocktäschel, Sebastian Riedel. NeurIPS 2017. paper code
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DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs. Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang. NeurIPS 2019. paper code
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RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio, Jian Tang. Arxiv 2020. paper
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Learning Reasoning Strategies in End-to-End Differentiable Proving. Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel. ICML 2020. paper code
Rule-enhanced Knowledge Graph Embedding
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RUGE: Knowledge Graph Embedding with Iterative Guidance from Soft Rules. Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo. AAAI 2018. paper code
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Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen. WWW 2019. paper
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Probabilistic Logic Neural Networks for Reasoning. Meng Qu, Jian Tang. NeurIPS 2019. paper code
Complex Logic Query
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Embedding Logical Queries on Knowledge Graphs. William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec. NeurIPS 2018. paper code
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Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings. Hongyu Ren, Weihua Hu, Jure Leskovec. ICLR 2019. paper code
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Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs. Hongyu Ren, Jure Leskovec. NeurIPS 2020. paper code
Complex Natural Language Query
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(Dataset: WikiTableQuestions) Compositional Semantic Parsing on Semi-Structured Tables. Panupong Pasupat, Percy Liang. ACL 2015. paper code
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(Dataset: MetaQA) Variational Reasoning for Question Answering with Knowledge Graph. Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, Le Song. AAAI 2018. paper data