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ORCIDArpit Merchant
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2020 – today
- 2023
[b1]Arpit Merchant:
Applications of Node Embeddings to Learning and Mining on Graphs ; Solmujen upotusten sovellukset graafien oppimisessa ja louhinnassa. University of Helsinki, Finland, 2023- [c11]Arpit Merchant
, Carlos Castillo:
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification. CIKM 2023: 1818-1827 - [c10]Jia Li, Yanhao Wang, Arpit Merchant:
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints. ECAI 2023: 1389-1397 - [c9]Arpit Merchant, Michael Mathioudakis, Yanhao Wang:
Graph Summarization via Node Grouping: A Spectral Algorithm. WSDM 2023: 742-750 - [i6]Jia Li, Yanhao Wang, Arpit Merchant:
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints. CoRR abs/2307.12065 (2023) - [i5]Arpit Merchant, Carlos Castillo:
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification. CoRR abs/2308.09596 (2023) - 2022
- [j2]Arpit Merchant, Ananth Mahadevan, Michael Mathioudakis:
Scalably Using Node Attributes and Graph Structure for Node Classification. Entropy 24(7): 906 (2022) - [j1]Arpit Merchant, Aristides Gionis, Michael Mathioudakis:
Succinct Graph Representations as Distance Oracles: An Experimental Evaluation. Proc. VLDB Endow. 15(11): 2297-2306 (2022) - [c8]Ananth Mahadevan, Arpit Merchant, Yanhao Wang, Michael Mathioudakis:
Robustness of Sketched Linear Classifiers to Adversarial Attacks. CIKM 2022: 4319-4323 - [i4]Arpit Merchant, Michael Mathioudakis, Yanhao Wang:
Graph Summarization via Node Grouping: A Spectral Algorithm. CoRR abs/2211.04169 (2022) - 2021
- [c7]Arpit Merchant, Michael Mathioudakis:
Joint Use of Node Attributes and Proximity for Node Classification. COMPLEX NETWORKS 2021: 511-522 - 2020
- [i3]Arpit Merchant, Michael Mathioudakis:
Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs. CoRR abs/2010.11536 (2020)
2010 – 2019
- 2019
- [c6]Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher:
Iterative Classroom Teaching. AAAI 2019: 5684-5692 - [c5]Arpit Merchant, Daksh Shah, Gurpreet Singh Bhatia, Anurag Ghosh, Ponnurangam Kumaraguru:
Signals Matter: Understanding Popularity and Impact of Users on Stack Overflow. WWW 2019: 3086-3092 - 2018
- [c4]Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause:
Fake News Detection in Social Networks via Crowd Signals. WWW (Companion Volume) 2018: 517-524 - [i2]Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher:
Iterative Classroom Teaching. CoRR abs/1811.03537 (2018) - 2017
- [c3]Arpit Merchant, Navjyoti Singh:
Hybrid Trust-Aware Model for Personalized Top-N Recommendation. CODS 2017: 4:1-4:5 - [i1]Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause:
Detecting Fake News in Social Networks via Crowdsourcing. CoRR abs/1711.09025 (2017) - 2016
- [c2]Arpit Merchant, Darshit Shah, Navjyoti Singh:
In Wikipedia We Trust: A Case Study - Extended Abstract. Wiki@ICWSM 2016 - [c1]Arpit Merchant, Tushant Jha, Navjyoti Singh:
The Use of Trust in Social Machines. WWW (Companion Volume) 2016: 787-792
Coauthor Index
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