no code implementations • 24 Aug 2018 • Jiang Wan, Blake S. Pollard, Sujit Rokka Chhetri, Palash Goyal, Mohammad Abdullah Al Faruque, Arquimedes Canedo
The digitalization of automation engineering generates large quantities of engineering data that is interlinked in knowledge graphs.
no code implementations • 6 Sep 2019 • Arquimedes Canedo, Palash Goyal, Di Huang, Amit Pandey, Gustavo Quiros
We show that machine learning can be leveraged to assist the automation engineer in classifying automation, finding similar code snippets, and reasoning about the hardware selection of sensors and actuators.
no code implementations • 6 Jul 2020 • Rex, Ying, Zhaoyu Lou, Jiaxuan You, Chengtao Wen, Arquimedes Canedo, Jure Leskovec
Subgraph matching is the problem of determining the presence and location(s) of a given query graph in a large target graph.
1 code implementation • 6 Sep 2019 • Palash Goyal, Di Huang, Sujit Rokka Chhetri, Arquimedes Canedo, Jaya Shree, Evan Patterson
In this work, we introduce the problem of graph representation ensemble learning and provide a first of its kind framework to aggregate multiple graph embedding methods efficiently.
1 code implementation • 4 Jul 2019 • Sujit Rokka Chhetri, Palash Goyal, Arquimedes Canedo
Datasets to study the temporal evolution of graphs are scarce.
Social and Information Networks
1 code implementation • 19 Aug 2019 • Palash Goyal, Di Huang, Ankita Goswami, Sujit Rokka Chhetri, Arquimedes Canedo, Emilio Ferrara
We use the comparisons on our 100 benchmark graphs to define GFS-score, that can be applied to any embedding method to quantify its performance.
1 code implementation • 7 Sep 2018 • Palash Goyal, Sujit Rokka Chhetri, Arquimedes Canedo
Capturing such evolution is key to predicting the properties of unseen networks.
Ranked #5 on Dynamic Link Prediction on Enron Emails
1 code implementation • 26 Nov 2018 • Palash Goyal, Sujit Rokka Chhetri, Ninareh Mehrabi, Emilio Ferrara, Arquimedes Canedo
DynamicGEM is an open-source Python library for learning node representations of dynamic graphs.
1 code implementation • 4 Jun 2019 • Shih Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo, Palash Goyal, Mohammad Abdullah Al Faruque
Python library for knowledge graph embedding and representation learning.