63 citations · 88 across the 9 of their papers we have counts for
5 papers · 1 filter
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding +1
In this paper, we study the problem of learning probabilistic logical rules for inductive and interpretable link prediction. Despite the importance of inductive link prediction, mo…
Measuring Impact of Climate Change on Tree Species: analysis of JSDM on FIA data
Hyun Choi, Ali Sadeghian, Sergio Marconi +2
One of the first beings affected by changes in the climate are trees, one of our most vital resources. In this study tree species interaction and the response to climate in differe…
Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision
Ali Sadeghian, Shervin Minaee, Ioannis Partalas +3
We propose a neural network architecture for learning vector representations of hotels. Unlike previous works, which typically only use user click information for learning item emb…
Mining Rules Incrementally over Large Knowledge Bases
Xiaofeng Zhou, Ali Sadeghian, Daisy Zhe Wang
Multiple web-scale Knowledge Bases, e.g., Freebase, YAGO, NELL, have been constructed using semi-supervised or unsupervised information extraction techniques and many of them, desp…
Automatic Target Recognition Using Discrimination Based on Optimal Transport
Ali Sadeghian, Deoksu Lim, Johan Karlsson +1
The use of distances based on optimal transportation has recently shown promise for discrimination of power spectra. In particular, spectral estimation methods based on l1 regulari…