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Answering complex queries on knowledge graphs is important but particularly challenging because of the data incompleteness.
WordNet: A lexical database for English
George A. Miller. 1995 · 1995
Earlier work this paper cites.
Metamathematics of Fuzzy Logic , volume 4 of Trends in Logic
Petr Hájek. 1998 · 1998
Earlier work this paper cites.
Model Theory: An Introduction
D. Marker. 2002 · 2002
Earlier work this paper cites.
Freebase: A collaboratively created graph database for structuring human knowledge
Kurt D. Bollacker, Colin Evans, Praveen K. Paritosh, Tim Sturge, and Jamie Taylor. 2008 · 2008
Earlier work this paper cites.
Open and Closed World Assumptions in Data Exchange
Leonid Libkin and Cristina Sirangelo. 2009 · 2009
Earlier work this paper cites.
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 · 2010
Earlier work this paper cites.
Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko. 2013b · 2013
Earlier work this paper cites.
Wikidata: A free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch. 2014 · 2014
Earlier work this paper cites.
Observed versus latent features for knowledge base and text inference
Kristina Toutanova and Danqi Chen. 2015 · 2015
Earlier work this paper cites.
Sliced wasserstein kernel for persistence diagrams
Mathieu Carriere, Marco Cuturi, and Steve Oudot. 2017 · 2017
Earlier work this paper cites.
Gromov-Wasserstein alignment of word embedding spaces
David Alvarez-Melis and Tommi Jaakkola. 2018 · 2018
Earlier work this paper cites.
Learning embeddings into entropic wasserstein spaces
Charlie Frogner, Farzaneh Mirzazadeh, and Justin Solomon. 2018 · 2018
Earlier work this paper cites.
Learning mixed-curvature representations in product spaces
Albert Gu, Frederic Sala, Beliz Gunel, and Christopher Ré. 2018 · 2018
Earlier work this paper cites.
Generalizing point embeddings using the wasserstein space of elliptical distributions
Boris Muzellec and Marco Cuturi. 2018 · 2018
Earlier work this paper cites.
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. 2018 · 2018
Earlier work this paper cites.
Wasserstein dictionary learning: Optimal transport-based unsupervised nonlinear dictionary learning
Morgan A Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. 2018 · 2018
Earlier work this paper cites.
Generalized sliced wasserstein distances
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, and Gustavo Rohde. 2019 · 2019
Earlier work this paper cites.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
Earlier work this paper cites.
Computational optimal transport: With applications to data science
Gabriel Peyré, Marco Cuturi, et al. 2019 · 2019
Cited alongside, same era.
Kgat: Knowledge graph attention network for recommendation
Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, and Tat-Seng Chua. 2019 · 2019
Cited alongside, same era.
Message Passing Query Embedding
Daniel Daza and Michael Cochez. 2020 · 2020
Cited alongside, same era.
Kgnn: Knowledge graph neural network for drug-drug interaction prediction
Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, and Xiangxiang Zeng. 2020 · 2020
Cited alongside, same era.
Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings
Hongyu Ren, Weihua Hu, and Jure Leskovec. 2020 · 2020
Cited alongside, same era.
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
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Neural Methods for Logical Reasoning over Knowledge Graphs
Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, and Ce Zhang. 2022 · 2022
Later among the works it cites.
Query2Particles: Knowledge Graph Reasoning with Particle Embeddings
Jiaxin Bai, Zihao Wang, Hongming Zhang, and Yangqiu Song. 2022 · 2022
Later among the works it cites.
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs
Xuelu Chen, Ziniu Hu, and Yizhou Sun. 2022 · 2022
Later among the works it cites.
LinE: Logical Query Reasoning over Hierarchical Knowledge Graphs
Zijian Huang, Meng-Fen Chiang, and Wang-Chien Lee. 2022 · 2022
Later among the works it cites.
Gromov-wasserstein guided representation learning for cross-domain recommendation
Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing, and Xian Wu. 2022 · 2022
Later among the works it cites.
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries
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Cited alongside, same era.
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Cited alongside, same era.
Semi-supervised bilingual lexicon induction with two-way interaction
Xu Zhao, Zihao Wang, Hao Wu, and Yong Zhang. 2020a · 2020
Cited alongside, same era.
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Erik Arakelyan, Daniel Daza, Pasquale Minervini, and Michael Cochez. 2021 · 2021
Cited alongside, same era.
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, and Chandan K. Reddy. 2021b · 2021
Cited alongside, same era.
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Cited alongside, same era.
Timeline summarization based on event graph compression via time-aware optimal transport
Manling Li, Tengfei Ma, Mo Yu, Lingfei Wu, Tian Gao, Heng Ji, and Kathleen McKeown. 2021 · 2021
Cited alongside, same era.
Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, and Jie Tang. 2022 · 2022
Later among the works it cites.
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 · 2022
Later among the works it cites.
OTExtSum: Extractive Text Summarisation with Optimal Transport
Peggy Tang, Kun Hu, Rui Yan, Lei Zhang, Junbin Gao, and Zhiyong Wang. 2022 · 2022
Later among the works it cites.
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Zezhong Xu, Wen Zhang, Peng Ye, Hui Chen, and Huajun Chen. 2022 · 2022
Later among the works it cites.
GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs
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Later among the works it cites.
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
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Later among the works it cites.
Sequential query encoding for complex query answering on knowledge graphs
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Seal: Simultaneous label hierarchy exploration and learning
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Logical message passing networks with one-hop inference on atomic formulas
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