Search Results for author: Alberto Garcia-Duran

Found 13 papers, 6 papers with code

Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation

1 code implementation10 Nov 2020 Eda Bayram, Alberto Garcia-Duran, Robert West

The existing literature on knowledge graph completion mostly focuses on the link prediction task.

Link Prediction regression

RISE and DISE: Two Frameworks for Learning from Time Series with Missing Data

no code implementations25 Sep 2019 Alberto Garcia-Duran, Robert West

The most successful prior approaches for modeling such time series are based on recurrent neural networks that learn to impute unobserved values and then treat the imputed values as observed.

Representation Learning Time Series Analysis

MMKG: Multi-Modal Knowledge Graphs

4 code implementations13 Mar 2019 Ye Liu, Hui Li, Alberto Garcia-Duran, Mathias Niepert, Daniel Onoro-Rubio, David S. Rosenblum

We present MMKG, a collection of three knowledge graphs that contain both numerical features and (links to) images for all entities as well as entity alignments between pairs of KGs.

Knowledge Graphs Link Prediction

Learning Representations of Missing Data for Predicting Patient Outcomes

no code implementations12 Nov 2018 Brandon Malone, Alberto Garcia-Duran, Mathias Niepert

Extracting actionable insight from Electronic Health Records (EHRs) poses several challenges for traditional machine learning approaches.

Classification General Classification +4

Towards a Spectrum of Graph Convolutional Networks

no code implementations4 May 2018 Mathias Niepert, Alberto Garcia-Duran

We present our ongoing work on understanding the limitations of graph convolutional networks (GCNs) as well as our work on generalizations of graph convolutions for representing more complex node attribute dependencies.

TransRev: Modeling Reviews as Translations from Users to Items

no code implementations30 Jan 2018 Alberto Garcia-Duran, Roberto Gonzalez, Daniel Onoro-Rubio, Mathias Niepert, Hui Li

This is exploited in sentiment analysis where machine learning models are used to predict the review score from the text of the review.

Product Recommendation Recommendation Systems +3

Learning Graph Representations with Embedding Propagation

no code implementations NeurIPS 2017 Alberto Garcia-Duran, Mathias Niepert

We propose Embedding Propagation (EP), an unsupervised learning framework for graph-structured data.

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

2 code implementations14 Sep 2017 Alberto Garcia-Duran, Mathias Niepert

We present KBLRN, a framework for end-to-end learning of knowledge base representations from latent, relational, and numerical features.

Knowledge Base Completion Representation Learning

Net2Vec: Deep Learning for the Network

no code implementations10 May 2017 Roberto Gonzalez, Filipe Manco, Alberto Garcia-Duran, Jose Mendes, Felipe Huici, Saverio Niccolini, Mathias Niepert

We present Net2Vec, a flexible high-performance platform that allows the execution of deep learning algorithms in the communication network.

General Classification Traffic Classification

Translating Embeddings for Modeling Multi-relational Data

6 code implementations NeurIPS 2013 Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko

We consider the problem of embedding entities and relationships of multi-relational data in low-dimensional vector spaces.

Link Prediction

Irreflexive and Hierarchical Relations as Translations

no code implementations26 Apr 2013 Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko

We consider the problem of embedding entities and relations of knowledge bases in low-dimensional vector spaces.

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