Inter-domain Multi-relational Link Prediction
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Hisashi Kashima | Koji Maruhashi | Tomoyoshi Takebayashi | Arseny Tolmachev | Luu Huu Phuc | Koh Takeuchi | Seiji Okajima | H. Kashima | Koh Takeuchi | Koji Maruhashi | T. Takebayashi | A. Tolmachev | Seiji Okajima
[1] Emanuele Sansone,et al. Coulomb Autoencoders , 2018, ECAI.
[2] Yu Cheng,et al. Graph Optimal Transport for Cross-Domain Alignment , 2020, ICML.
[3] Gabriel Peyré,et al. Computational Optimal Transport , 2018, Found. Trends Mach. Learn..
[4] Gabriel Peyré,et al. Gromov-Wasserstein Averaging of Kernel and Distance Matrices , 2016, ICML.
[5] Jianfeng Gao,et al. Embedding Entities and Relations for Learning and Inference in Knowledge Bases , 2014, ICLR.
[6] Takuya Akiba,et al. Optuna: A Next-generation Hyperparameter Optimization Framework , 2019, KDD.
[7] Trevor Darrell,et al. Deep Domain Confusion: Maximizing for Domain Invariance , 2014, CVPR 2014.
[8] Zhen Wang,et al. Knowledge Graph Embedding by Translating on Hyperplanes , 2014, AAAI.
[9] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[10] Dat Quoc Nguyen. An overview of embedding models of entities and relationships for knowledge base completion , 2017, ArXiv.
[11] Michael Gamon,et al. Representing Text for Joint Embedding of Text and Knowledge Bases , 2015, EMNLP.
[12] Hongyuan Zha,et al. Gromov-Wasserstein Learning for Graph Matching and Node Embedding , 2019, ICML.
[13] Evgeniy Gabrilovich,et al. A Review of Relational Machine Learning for Knowledge Graphs , 2015, Proceedings of the IEEE.
[14] Jianmin Wang,et al. Unsupervised Domain Adaptation With Distribution Matching Machines , 2018, AAAI.
[15] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[16] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[17] Pasquale Minervini,et al. Convolutional 2D Knowledge Graph Embeddings , 2017, AAAI.
[18] Wei Hu,et al. Bootstrapping Entity Alignment with Knowledge Graph Embedding , 2018, IJCAI.
[19] Koh Takeuchi,et al. Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport , 2020, 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA).
[20] Yixin Cao,et al. Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences , 2019, WWW.
[21] Bernhard Schölkopf,et al. A Kernel Approach to Comparing Distributions , 2007, AAAI.
[22] Mehrtash Tafazzoli Harandi,et al. Distribution-Matching Embedding for Visual Domain Adaptation , 2016, J. Mach. Learn. Res..
[23] Guillaume Bouchard,et al. Complex Embeddings for Simple Link Prediction , 2016, ICML.
[24] Jun Zhao,et al. Knowledge Graph Embedding via Dynamic Mapping Matrix , 2015, ACL.
[25] Wei Hu,et al. Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding , 2017, SEMWEB.
[26] Carlo Zaniolo,et al. Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment , 2016, IJCAI.
[27] Wenting Wang,et al. MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph , 2020, WSDM.
[28] Bernhard Schölkopf,et al. A Kernel Method for the Two-Sample-Problem , 2006, NIPS.
[29] Nils M. Kriege,et al. Deep Graph Matching Consensus , 2020, ICLR.
[30] Zhiyuan Liu,et al. Learning Entity and Relation Embeddings for Knowledge Graph Completion , 2015, AAAI.
[31] Marco Cuturi,et al. Sinkhorn Distances: Lightspeed Computation of Optimal Transport , 2013, NIPS.
[32] Hans-Peter Kriegel,et al. A Three-Way Model for Collective Learning on Multi-Relational Data , 2011, ICML.
[33] Chengjiang Li,et al. Multi-Channel Graph Neural Network for Entity Alignment , 2019, ACL.
[34] Seyed Mehran Kazemi,et al. SimplE Embedding for Link Prediction in Knowledge Graphs , 2018, NeurIPS.
[35] Danqi Chen,et al. Reasoning With Neural Tensor Networks for Knowledge Base Completion , 2013, NIPS.