activity
20162023
most citedAttention-Based Recommendation On Graphs

3 citations · 3 across the 10 of their papers we have counts for

collaborators

11 papers

cs.DS2023

An Approximation Algorithm for Ancestral Maximum-Likelihood and Phylogeography Inference Problems under Time Reversible Markov Evolutionary Models

Mohammad-Hadi Foroughmand-Araabi, Sama Goliaei, Kasra Alishahi

The ancestral maximum-likelihood and phylogeography problems are two fundamental problems involving evolutionary studies. The ancestral maximum-likelihood problem involves identify…

cs.IR2022★ 3 cited

Attention-Based Recommendation On Graphs

Taher Hekmatfar, Saman Haratizadeh, Parsa Razban +1

Graph Neural Networks (GNN) have shown remarkable performance in different tasks. However, there are a few studies about GNN on recommender systems. GCN as a type of GNNs can extra…

cs.IR2020

Embedding Ranking-Oriented Recommender System Graphs

Taher Hekmatfar, Saman Haratizadeh, Sama Goliaei

Graph-based recommender systems (GRSs) analyze the structural information in the graphical representation of data to make better recommendations, especially when the direct user-it…

q-bio.GN2019

CAMIRADA: Cancer microRNA association discovery algorithm, a case study on breast cancer

Sepideh Shamsizadeh, Sama Goliaei, Zahra Razaghi Moghadam

In recent studies, non-coding protein RNAs have been identified as microRNA that can be used as biomarkers for early diagnosis and treatment of cancer, that decrease mortality in c…

cs.CE2018

CAMIRADA: Cancer microRNA association discovery algorithm, a case study on breast cancer

Sepideh Shamsizadeha, Sama Goliaea, Zahra Razaghi Moghadamb

In recent studies, non-coding protein RNAs have been identified as microRNA that can be used as biomarkers for early diagnosis and treatment of cancer, that decrease mortality in c…

cs.FL2018

Abstract Geometrical Computation 10: An Intrinsically Universal Family of Signal Machines

Florent Becker, Tom Besson, Jérôme Durand-Lose +4

Signal machines form an abstract and idealised model of collision computing. Based on dimensionless signals moving on the real line, they model particle/signal dynamics in Cellular…

cs.CG2017

An algorithm to simulate alternating Turing machine in signal machine

Dawood Hasanzadeh, Sama Goliaei

Geometrical Computation as a new model of computation is the counterpart of Cellular Automata that has Turing computing ability. In this paper we provide an algorithm to simulate A…

cs.ET2016

A Nondeterministic Model for Abstract Geometrical Computation

Rakhshan Harifi, Sama Goliaei

A signal machine is an abstract geometrical model for computation, proposed as an extension to the one-dimensional cellular automata, in which discrete time and space of cellular a…

q-bio.MN2016

MCA: Boolean Networks Control Algorithm

Mohammad Moradi, Sama Goliaei

Control problem in a biological system is the problem of finding an interventional policy for changing the state of the biological system from an undesirable state, e.g. disease, i…

cs.CE2016

NRSSPrioritize: Associating Protein Complex and Disease Similarity Information to Prioritize Disease Candidate Genes

Zahra Razaghi-Moghadam, Razieh Abdollahi, Sama Goliaei +1

The identification of disease-associated genes has recently gathered much attention for uncovering disease complex mechanisms that could lead to new insights into the treatment of…

cs.CE2016

HybridRanker: Integrating network structure and disease knowledge to prioritize cancer candidate genes

Zahra Razaghi-Moghadama, Razieh Abdollahia, Sama Goliaeib +1

One of the notable fields in studying the genetics of cancer is disease gene identification which affects disease treatment and drug discovery. Many researches have been done in th…