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Complex Query Answering (CQA) is an important and fundamental task for knowledge graph (KG) reasoning.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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The compositionality papers
Jerry A Fodor and Ernest Lepore · 2002
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TRANX: A transition-based neural abstract syntax parser for semantic parsing and code generation
Pengcheng Yin and Graham Neubig · 2002
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Freebase: a collaboratively created graph database for structuring human knowledge
Kurt D. Bollacker, Colin Evans, Praveen K. Paritosh, Tim Sturge, and Jamie Taylor · 2008
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Toward an architecture for never-ending language learning
Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., and Tom M. Mitchell · 2010
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Translating embeddings for modeling multi-relational data
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Çaglar Gülçehre, KyungHyun Cho, and Yoshua Bengio · 2014
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Improved semantic representations from tree-structured long short-term memory networks
Kai Sheng Tai, Richard Socher, and Christopher D. Manning · 2015
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Observed versus latent features for knowledge base and text inference
Kristina Toutanova and Danqi Chen · 2015
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CLEVR: A diagnostic dataset for compositional language and elementary visual reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, and Ross B. Girshick · 2017
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Neural AMR: Sequence-to-sequence models for parsing and generation
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, and Luke Zettlemoyer · 2017
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End-to-end differentiable proving
Tim Rocktäschel and Sebastian Riedel · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Improving text-to-sql evaluation methodology
Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, and Dragomir R. Radev · 2018
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Embedding logical queries on knowledge graphs
William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, and Jure Leskovec · 2018
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Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
Brenden M. Lake and Marco Baroni · 2018
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Rearranging the familiar: Testing compositional generalization in recurrent networks
João Loula, Marco Baroni, and Brenden M. Lake · 2018
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Compositionality decomposed: How do neural networks generalise?
Dieuwke Hupkes, Verna Dankers, Mathijs Mul, and Elia Bruni · 2020
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Measuring compositional generalization: A comprehensive method on realistic data
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, and Olivier Bousquet · 2020
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COGS: A compositional generalization challenge based on semantic interpretation
Najoung Kim and Tal Linzen · 2020
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Differentiable reasoning on large knowledge bases and natural language
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, and Edward Grefenstette · 2020
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Cone: Cone embeddings for multi-hop reasoning over knowledge graphs
Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, and Feng Wu · 2021
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Neural methods for logical reasoning over knowledge graphs
Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, and Ce Zhang · 2022
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Query2Particles: Knowledge graph reasoning with particle embeddings
Jiaxin Bai, Zihao Wang, Hongming Zhang, and Yangqiu Song · 2022
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Fuzzy logic based logical query answering on knowledge graphs
Xuelu Chen, Ziniu Hu, and Yizhou Sun · 2022
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Improving deep metric learning with virtual classes and examples mining
Pierre Jacob, David Picard, and Aymeric Histace · 2022
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Mask and reason: Pre-training knowledge graph transformers for complex logical queries
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Beta embeddings for multi-hop logical reasoning in knowledge graphs
Hongyu Ren and Jure Leskovec · 2020
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Query2box: Reasoning over knowledge graphs in vector space using box embeddings
Hongyu Ren, Weihua Hu, and Jure Leskovec · 2020
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Faithful embeddings for knowledge base queries
Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, and William W. Cohen · 2020
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Complex query answering with neural link predictors
Erik Arakelyan, Daniel Daza, Pasquale Minervini, and Michael Cochez · 2021
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Probabilistic entity representation model for reasoning over knowledge graphs
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, and Chandan K. Reddy · 2021
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Self-supervised hyperboloid representations from logical queries over knowledge graphs
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, and Chandan K. Reddy · 2021
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Answering complex queries in knowledge graphs with bidirectional sequence encoders
Bhushan Kotnis, Carolin Lawrence, and Mathias Niepert · 2021
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Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, and Jie Tang · 2022
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Making transformers solve compositional tasks
Santiago Ontanon, Joshua Ainslie, Zachary Fisher, and Vaclav Cvicek · 2022
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SMORE: knowledge graph completion and multi-hop reasoning in massive knowledge graphs
Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, and Dale Schuurmans · 2022
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Reasoning over multi-view knowledge graphs
Zhaohan Xi, Ren Pang, Changjiang Li, Tianyu Du, Shouling Ji, Fenglong Ma, and Ting Wang · 2022
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Neural-symbolic entangled framework for complex query answering
Zezhong Xu, Wen Zhang, Peng Ye, Hui Chen, and Huajun Chen · 2022
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Gammae: Gamma embeddings for logical queries on knowledge graphs
Dong Yang, Peijun Qing, Yang Li, Haonan Lu, and Xiaodong Lin · 2022
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Neural-symbolic models for logical queries on knowledge graphs
Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, and Jian Tang · 2022
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Logical message passing networks with one-hop inference on atomic formulas
Zihao Wang, Yangqiu Song, Ginny Y. Wong, and Simon See · 2023
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Recogs: How incidental details of a logical form overshadow an evaluation of semantic interpretation
Zhengxuan Wu, Christopher D. Manning, and Christopher Potts · 2023
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Self-attention with relative position representations
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