Arpit Merchant

Orcid: 0000-0001-8143-1539

According to our database1, Arpit Merchant authored at least 16 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Applications of Node Embeddings to Learning and Mining on Graphs ; Solmujen upotusten sovellukset graafien oppimisessa ja louhinnassa.
PhD thesis, 2023

Graph Summarization via Node Grouping: A Spectral Algorithm.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Spectral Normalized-Cut Graph Partitioning with Fairness Constraints.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Succinct Graph Representations as Distance Oracles: An Experimental Evaluation.
Proc. VLDB Endow., 2022

Scalably Using Node Attributes and Graph Structure for Node Classification.
Entropy, 2022

Robustness of Sketched Linear Classifiers to Adversarial Attacks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Joint Use of Node Attributes and Proximity for Node Classification.
Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

2020
Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs.
CoRR, 2020

2019
Signals Matter: Understanding Popularity and Impact of Users on Stack Overflow.
Proceedings of the World Wide Web Conference, 2019

Iterative Classroom Teaching.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Fake News Detection in Social Networks via Crowd Signals.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017
Detecting Fake News in Social Networks via Crowdsourcing.
CoRR, 2017

Hybrid Trust-Aware Model for Personalized Top-N Recommendation.
Proceedings of the Fourth ACM IKDD Conferences on Data Sciences, 2017

2016
The Use of Trust in Social Machines.
Proceedings of the 25th International Conference on World Wide Web, 2016

In Wikipedia We Trust: A Case Study - Extended Abstract.
Proceedings of the Wiki, 2016


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