10 citations · 17 across the 6 of their papers we have counts for
6 papers
Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors
Croix Gyurek, Niloy Talukder, Mohammad Al Hasan
For natural language understanding and generation, embedding concepts using an order-based representation is an essential task. Unlike traditional point vector based representation…
Force-directed graph embedding with hops distance
Hamidreza Lotfalizadeh, Mohammad Al Hasan
Graph embedding has become an increasingly important technique for analyzing graph-structured data. By representing nodes in a graph as vectors in a low-dimensional space, graph em…
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
Jun Zhuang, Mohammad Al Hasan
Node classification using Graph Neural Networks (GNNs) has been widely applied in various real-world scenarios. However, in recent years, compelling evidence emerges that the perfo…
Dis-S2V: Discourse Informed Sen2Vec
Tanay Kumar Saha, Shafiq Joty, Naeemul Hassan +1
Vector representation of sentences is important for many text processing tasks that involve clustering, classifying, or ranking sentences. Recently, distributed representation of s…
PRIIME: A Generic Framework for Interactive Personalized Interesting Pattern Discovery
Mansurul Bhuiyan, Mohammad Al Hasan
The traditional frequent pattern mining algorithms generate an exponentially large number of patterns of which a substantial proportion are not much significant for many data analy…
Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams
Baichuan Zhang, Murat Dundar, Mohammad Al Hasan
The name entity disambiguation task aims to partition the records of multiple real-life persons so that each partition contains records pertaining to a unique person. Most of the e…