3 citations · 3 across the 4 of their papers we have counts for
4 papers
Topology-Driven Generative Completion of Lacunae in Molecular Data
Dmitry Yu. Zubarev, Petar Ristoski
We introduce an approach to the targeted completion of lacunae in molecular data sets which is driven by topological data analysis, such as Mapper algorithm. Lacunae are filled in…
SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion
Muntasir Wahed, Daniel Gruhl, Alfredo Alba +5
Recent advances in text representation have shown that training on large amounts of text is crucial for natural language understanding. However, models trained without predefined n…
Large-scale Taxonomy Induction Using Entity and Word Embeddings
Petar Ristoski, Stefano Faralli, Simone Paolo Ponzetto +1
Taxonomies are an important ingredient of knowledge organization, and serve as a backbone for more sophisticated knowledge representations in intelligent systems, such as formal on…
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs
Gilles Vandewiele, Bram Steenwinckel, Pieter Bonte +5
As KGs are symbolic constructs, specialized techniques have to be applied in order to make them compatible with data mining techniques. RDF2Vec is an unsupervised technique that ca…