output
20022025
most citedLearning Convolutional Neural Networks for Graphs

808 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2018★ 18 cited

Learning Sequence Encoders for Temporal Knowledge Graph Completion

Alberto García-Durán, Sebastijan Dumančić, Mathias Niepert

Research on link prediction in knowledge graphs has mainly focused on static multi-relational data. In this work we consider temporal knowledge graphs where relations between entit…

cs.AI2018

A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning

Sebastijan Dumancic, Alberto Garcia-Duran, Mathias Niepert

Many real-world domains can be expressed as graphs and, more generally, as multi-relational knowledge graphs. Though reasoning and learning with knowledge graphs has traditionally…

cs.AI2017★ 49 cited

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

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. KBLRN integrates feature types with a novel…