3 papers
cs.LG2023
Edge2Node: Reducing Edge Prediction to Node Classification
Zahed Rahmati
Despite the success of graph neural network models in node classification, edge prediction (the task of predicting missing or potential links between nodes in a graph) remains a ch…
cs.CL2021
BERT-DRE: BERT with Deep Recursive Encoder for Natural Language Sentence Matching
Ehsan Tavan, Ali Rahmati, Maryam Najafi +2
This paper presents a deep neural architecture, for Natural Language Sentence Matching (NLSM) by adding a deep recursive encoder to BERT so called BERT with Deep Recursive Encoder…
cs.CG2020
RAC Drawings in Subcubic Area
Zahed Rahmati, Fatemeh Emami
In this paper, we study tradeoffs between curve complexity and area of Right Angle Crossing drawings (RAC drawings), which is a challenging theoretical problem in graph drawing. Gi…