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Computer Science

D-Index
44
Citations
8605
World Ranking
7542
National Ranking
79

Overview

Niloy Ganguly is affiliated with the Indian Institute of Technology Kharagpur in India. Their research primarily focuses on Computer Science, with an emphasis on Artificial Intelligence, which comprises a significant portion of their work. Other notable subfields include Computer Vision and Pattern Recognition, Sociology and Political Science, Statistical and Nonlinear Physics, and Molecular Biology.

The topics explored in their publications cover a diverse set of areas such as Topic Modeling, Natural Language Processing Techniques, Misinformation and Its Impacts, Hate Speech and Cyberbullying Detection, Opinion Dynamics and Social Influence, Advanced Text Analysis Techniques, and Vaccine Coverage and Hesitancy.

Niloy Ganguly has contributed to research published in various venues, frequently appearing in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the International AAAI Conference on Web and Social Media
  • IEEE Transactions on Computational Social Systems
  • ACM Transactions on the Web

Collaborations with several coauthors are a feature of their work. Frequent coauthors include Pawan Goyal, Saptarshi Ghosh, Sourangshu Bhattacharya, and Soham Poddar.

Selected recent publications of Niloy Ganguly are:

  • "Regression under Human Assistance" (2020) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Toward Fair Recommendation in Two-sided Platforms" (2021) published in ACM Transactions on the Web
  • "Winds of Change: Impact of COVID-19 on Vaccine-Related Opinions of Twitter Users" (2022) published in Proceedings of the International AAAI Conference on Web and Social Media
  • "CrysXPP: An explainable property predictor for crystalline materials" (2022) published in npj Computational Materials
  • "FinRED: A Dataset for Relation Extraction in Financial Domain" (2022) published in Companion Proceedings of the Web Conference 2022

Best Publications

  • Understanding and combating link farming in the twitter social network

    Saptarshi Ghosh;Bimal Viswanath;Farshad Kooti;Naveen Kumar Sharma

  • Stop clickbait: detecting and preventing clickbaits in online news media

    Abhijnan Chakraborty;Bhargavi Paranjape;Sourya Kakarla;Niloy Ganguly

  • Design patterns from biology for distributed computing

    Ozalp Babaoglu;Geoffrey Canright;Andreas Deutsch;Gianni A. Di Caro

  • Feature weighting in content based recommendation system using social network analysis

    Souvik Debnath;Niloy Ganguly;Pabitra Mitra

  • FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

    Gourab K Patro;Arpita Biswas;Niloy Ganguly;Krishna P. Gummadi

  • Metrics for Community Analysis: A Survey

    Tanmoy Chakraborty;Ayushi Dalmia;Animesh Mukherjee;Niloy Ganguly

  • Cognos: crowdsourcing search for topic experts in microblogs

    Saptarshi Ghosh;Naveen Sharma;Fabricio Benevenuto;Niloy Ganguly

  • Extracting Situational Information from Microblogs during Disaster Events: a Classification-Summarization Approach

    Koustav Rudra;Subham Ghosh;Niloy Ganguly;Pawan Goyal

  • On the permanence of vertices in network communities

    Tanmoy Chakraborty;Sriram Srinivasan;Niloy Ganguly;Animesh Mukherjee

  • NeVAE: A Deep Generative Model for Molecular Graphs

    Bidisha Samanta;Abir De;Gourhari Jana;Pratim Kumar Chattaraj

  • Inferring user interests in the Twitter social network

    Parantapa Bhattacharya;Muhammad Bilal Zafar;Niloy Ganguly;Saptarshi Ghosh

  • Theory and Application of Cellular Automata For Pattern Classification

    Pradipta Maji;Chandrama Shaw;Niloy Ganguly;Biplab K. Sikdar

  • Inferring who-is-who in the Twitter social network

    Naveen Kumar Sharma;Saptarshi Ghosh;Fabricio Benevenuto;Niloy Ganguly

  • Extracting and Summarizing Situational Information from the Twitter Social Media during Disasters

    Koustav Rudra;Niloy Ganguly;Pawan Goyal;Saptarshi Ghosh

  • Summarizing Situational Tweets in Crisis Scenario

    Koustav Rudra;Siddhartha Banerjee;Niloy Ganguly;Pawan Goyal

  • NEVAE: A Deep Generative Model for Molecular Graphs

    Bidisha Samanta;Abir De;Gourhari Jana;Vicenç Gómez

  • On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream

    Saptarshi Ghosh;Muhammad Bilal Zafar;Parantapa Bhattacharya;Naveen Sharma

  • Learning a Linear Influence Model from Transient Opinion Dynamics

    Abir De;Sourangshu Bhattacharya;Parantapa Bhattacharya;Niloy Ganguly

  • Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations

    Abhijnan Chakraborty;Johnnatan Messias;Fabrício Benevenuto;Saptarshi Ghosh

  • Towards a stratified learning approach to predict future citation counts

    Tanmoy Chakraborty;Suhansanu Kumar;Pawan Goyal;Niloy Ganguly

  • Online Public Shaming on Twitter: Detection, Analysis, and Mitigation

    Rajesh Basak;Shamik Sural;Niloy Ganguly;Soumya K. Ghosh

  • Design Patterns from Biology for Distributed Computing

    Ozalp Babaoglu;G. Canright;A. Deutsch;G. Di Caro

Frequent Co-Authors

Saptarshi Ghosh
Saptarshi Ghosh Indian Institute of Technology Kharagpur
Krishna P. Gummadi
Krishna P. Gummadi Max Planck Institute for Software Systems
Soumen Chakrabarti
Soumen Chakrabarti Indian Institute of Technology Bombay
Shamik Sural
Shamik Sural Indian Institute of Technology Kharagpur
Romit Roy Choudhury
Romit Roy Choudhury University of Illinois at Urbana-Champaign
Manuel Gomez-Rodriguez
Manuel Gomez-Rodriguez Max Planck Institute for Software Systems
Fabrício Benevenuto
Fabrício Benevenuto Universidade Federal de Minas Gerais
Prasenjit Mitra
Prasenjit Mitra Pennsylvania State University
Pabitra Mitra
Pabitra Mitra Indian Institute of Technology Kharagpur
Roberto Montemanni
Roberto Montemanni University of Modena and Reggio Emilia

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