Palash Goyal
Palash Goyal
Samsung Research America
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Graph embedding techniques, applications, and performance: A survey
P Goyal, E Ferrara
Knowledge-Based Systems 151, 78-94, 2018
Dyngem: Deep embedding method for dynamic graphs
P Goyal, N Kamra, X He, Y Liu
arXiv preprint arXiv:1805.11273, 2018
dyngraph2vec: Capturing network dynamics using dynamic graph representation learning
P Goyal, SR Chhetri, A Canedo
Knowledge-Based Systems 187, 104816, 2020
Darkembed: Exploit prediction with neural language models
N Tavabi, P Goyal, M Almukaynizi, P Shakarian, K Lerman
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Deep learning for natural language processing
P Goyal, S Pandey, K Jain
Deep Learning for Natural Language Processing: Creating Neural Networks with …, 2018
Capturing edge attributes via network embedding
P Goyal, H Hosseinmardi, E Ferrara, A Galstyan
IEEE Transactions on Computational Social Systems 5 (4), 907-917, 2018
GEM: A Python package for graph embedding methods
P Goyal, E Ferrara
The Journal of Open Source Software 3 (29), 2018
Discovering signals from web sources to predict cyber attacks
P Goyal, KSM Hossain, A Deb, N Tavabi, N Bartley, A Abeliuk, E Ferrara, ...
arXiv preprint arXiv:1806.03342, 2018
Embedding networks with edge attributes
P Goyal, H Hosseinmardi, E Ferrara, A Galstyan
Proceedings of the 29th on Hypertext and Social Media, 38-42, 2018
Dynamicgem: A library for dynamic graph embedding methods
P Goyal, SR Chhetri, N Mehrabi, E Ferrara, A Canedo
arXiv preprint arXiv:1811.10734, 2018
Benchmarks for graph embedding evaluation
P Goyal, D Huang, A Goswami, SR Chhetri, A Canedo, E Ferrara
arXiv preprint arXiv:1908.06543, 2019
Recommending teammates with deep neural networks
P Goyal, A Sapienza, E Ferrara
Proceedings of the 29th on Hypertext and Social Media, 57-61, 2018
Modeling evolution of topics in large-scale temporal text corpora
E Momeni, S Karunasekera, P Goyal, K Lerman
Twelfth International AAAI Conference on Web and Social Media, 2018
Pykg2vec: A python library for knowledge graph embedding
SY Yu, SR Chhetri, A Canedo, P Goyal, MAA Faruque
arXiv preprint arXiv:1906.04239, 2019
Deep Neural Networks for Optimal Team Composition
A Sapienza, P Goyal, E Ferrara
Frontiers in Big Data 2, 14, 2019
Rapid data integration and analysis for upstream oil and gas applications
CM Cheung, P Goyal, G Harris, O Patri, A Srivastava, Y Zhang, ...
SPE Annual Technical Conference and Exhibition, 2015
Oreonet: Deep convolutional network for oil reservoir optimization
CM Cheung, P Goyal, VK Prasanna, AS Tehrani
2017 IEEE International Conference on Big Data (Big Data), 1277-1282, 2017
SAGE: a hybrid geopolitical event forecasting system
F Morstatter, A Galstyan, G Satyukov, D Benjamin, A Abeliuk, M Mirtaheri, ...
Proceedings of the 28th International Joint Conference on Artificial …, 2019
Future automation engineering using structural graph convolutional neural networks
J Wan, BS Pollard, SR Chhetri, P Goyal, MAA Faruque, A Canedo
arXiv preprint arXiv:1808.08213, 2018
Graph representation ensemble learning
P Goyal, D Huang, SR Chhetri, A Canedo, J Shree, E Patterson
arXiv preprint arXiv:1909.02811, 2019
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