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Explaining Neural Matrix Factorization with Gradient Rollback

Oct 14, 2020
Carolin Lawrence, Timo Sztyler, Mathias Niepert


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Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders

Apr 06, 2020
Bhushan Kotnis, Carolin Lawrence, Mathias Niepert

* 7 pages, 2 figures 

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Attending to Future Tokens For Bidirectional Sequence Generation

Sep 17, 2019
Carolin Lawrence, Bhushan Kotnis, Mathias Niepert

* Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019, Hong Kong, China 

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Learning Discrete Structures for Graph Neural Networks

May 17, 2019
Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He

* To appear as a conference paper at ICML 2019, code at https://github.com/lucfra/LDS 

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RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems

Apr 10, 2019
Cheng Wang, Mathias Niepert, Hui Li

* 10 pages, IEEE-TNNLS 

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MMKG: Multi-Modal Knowledge Graphs

Mar 13, 2019
Ye Liu, Hui Li, Alberto Garcia-Duran, Mathias Niepert, Daniel Onoro-Rubio, David S. Rosenblum

* ESWC 2019 

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State-Regularized Recurrent Neural Networks

Jan 25, 2019
Cheng Wang, Mathias Niepert

* 20 pages 

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Learning Representations of Missing Data for Predicting Patient Outcomes

Nov 12, 2018
Brandon Malone, Alberto Garcia-Duran, Mathias Niepert


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Knowledge Graph Completion to Predict Polypharmacy Side Effects

Oct 22, 2018
Brandon Malone, Alberto García-Durán, Mathias Niepert

* 13th International Conference on Data Integration in the Life Sciences (DILS2018) 

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Learning Sequence Encoders for Temporal Knowledge Graph Completion

Sep 10, 2018
Alberto Garc√≠a-Dur√°n, Sebastijan Dumanńćińá, Mathias Niepert

* EMNLP'18 

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LRMM: Learning to Recommend with Missing Modalities

Aug 30, 2018
Cheng Wang, Mathias Niepert, Hui Li

* 11 pages, EMNLP 2018 

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On embeddings as an alternative paradigm for relational learning

Jul 02, 2018
Sebastijan Dumancic, Alberto Garcia-Duran, Mathias Niepert

* StarAI workshop @ IJCAI 2018 

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KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features

Jun 11, 2018
Alberto Garcia-Duran, Mathias Niepert

* UAI 2018 

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Contextual Hourglass Networks for Segmentation and Density Estimation

Jun 08, 2018
Daniel O√Īoro-Rubio, Mathias Niepert


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Learning Short-Cut Connections for Object Counting

May 08, 2018
Daniel O√Īoro-Rubio, Mathias Niepert, Roberto J. L√≥pez-Sastre


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Towards a Spectrum of Graph Convolutional Networks

May 04, 2018
Mathias Niepert, Alberto Garcia-Duran


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BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism

Apr 23, 2018
Nicolas Weber, Florian Schmidt, Mathias Niepert, Felipe Huici

* Technical Report, 13 pages 

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TransRev: Modeling Reviews as Translations from Users to Items

Apr 18, 2018
Alberto Garcia-Duran, Roberto Gonzalez, Daniel Onoro-Rubio, Mathias Niepert, Hui Li


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Representation Learning for Visual-Relational Knowledge Graphs

Mar 31, 2018
Daniel O√Īoro-Rubio, Mathias Niepert, Alberto Garc√≠a-Dur√°n, Roberto Gonz√°lez, Roberto J. L√≥pez-Sastre


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Representation Learning for Resource Usage Prediction

Feb 02, 2018
Florian Schmidt, Mathias Niepert, Felipe Huici

* 3 pages, 2 figures, SysML 2018 

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Learning Graph Representations with Embedding Propagation

Oct 09, 2017
Alberto Garcia-Duran, Mathias Niepert


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Net2Vec: Deep Learning for the Network

May 10, 2017
Roberto Gonzalez, Filipe Manco, Alberto Garcia-Duran, Jose Mendes, Felipe Huici, Saverio Niccolini, Mathias Niepert


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Discriminative Gaifman Models

Oct 28, 2016
Mathias Niepert

* NIPS 2016 

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Learning Convolutional Neural Networks for Graphs

Jun 08, 2016
Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov

* To be presented at ICML 2016 

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Lifted Probabilistic Inference for Asymmetric Graphical Models

Dec 01, 2014
Guy Van den Broeck, Mathias Niepert

* To appear in Proceedings of AAAI-2015 

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Markov Chains on Orbits of Permutation Groups

Aug 09, 2014
Mathias Niepert

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012) 

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On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach

Aug 09, 2014
Mathias Niepert, Dirk Van Gucht, Marc Gyssens

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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