274 citations · 287 across the 5 of their papers we have counts for
6 papers
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion
Nasim Shirvani-Mahdavi, Farahnaz Akrami, Chengkai Li
Knowledge graph embedding (KGE) models are extensively studied for knowledge graph completion, yet their evaluation remains constrained by unrealistic benchmarks. Standard evaluati…
Classifying weak phase retrieval
P. G. Casazza, F. Akrami
We will give several surprising equivalences and consequences of weak phase retrieval. These results give a complete understanding of the difference between weak phase retrieval an…
A note on (weak) phase and norm retrievable Real Hilbert space frames and projections
P. G. Casazza, F. Akrami, A. Rahimi +2
\begin{abstract} In this manuscript, we answer a list of longstanding open problems on weak phase retrieval including: (1) A complete classification of the vectors $\{x_i\}_{i=1}^2…
A note on phase (norm) retrievable Real Hilbert space (fusion) frames
F. Akrami, P. G. Casazza, M. A. Hasankhani Fard +1
In this manuscript, we present several new results in finite and countable dimensional real Hilbert space phase retrieval and norm retrieval by vectors and projections. We make a d…
Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study
Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang +2
In the active research area of employing embedding models for knowledge graph completion, particularly for the task of link prediction, most prior studies used two benchmark datase…
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
Zequn Sun, Qingheng Zhang, Wei Hu +4
Entity alignment seeks to find entities in different knowledge graphs (KGs) that refer to the same real-world object. Recent advancement in KG embedding impels the advent of embedd…