Sandipan Sikdar
Biographic Data
| ID | 1906258 |
|---|---|
| NAME | Sandipan Sikdar |
| GIVEN NAMES | Sandipan |
| FAMILY NAME | Sikdar |
| SIGNATURE | SIKDAR S |
| AFFILIATIONS | Leibniz University of Applied Sciences |
| ORCID | 0000-0003-1669-6594 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Multicalibration in Fair Link Prediction
In this work, we expand the multicalibration fairness metric to graph-structured data. Machine learning models, including graph neural networks (GNNs), have been demonstrated to generate unfair results when trained on data containing biases towards certain demographic groups. Consequently, several fairness enhancing methods have been proposed to deal with such biases in the model predictions. To evaluate the performance of these methods, metrics …
Fair Link Prediction With Overlapping Groups
In this article, we introduce FairLPG, a framework for ensuring fairness for the task of link prediction in graphs with multiple sensitive attributes. In the context of link prediction in graphs, the fairness notions of demographic parity and equalized odds try to ensure equal average linking probability and true positive rates across different demographic groups consisting of various node pairs. Existing methods for achieving fairness in link pr…
What we should learn from pandemic publishing
Consistency pays off in science
The exponentially growing number of scientific papers stimulates a discussion on the interplay between quantity and quality in science. In particular, one may wonder which publication strategy may offer more chances of success: publishing lots of papers, producing a few hit papers, or something in between. Here we tackle this question by studying the scientific portfolios of Nobel Prize laureates. A comparative analysis of different citation-base…
Citation interactions among computer science fields
No prominent works on this page.
Citation interactions among computer science fields
Consistency pays off in science
The exponentially growing number of scientific papers stimulates a discussion on the interplay between quantity and quality in science. In particular, one may wonder which publication strategy may offer more chances of success: publishing lots of papers, producing a few hit papers, or something in between. Here we tackle this question by studying the scientific portfolios of Nobel Prize laureates. A comparative analysis of different citation-base…
What we should learn from pandemic publishing
Fair Link Prediction With Overlapping Groups
In this article, we introduce FairLPG, a framework for ensuring fairness for the task of link prediction in graphs with multiple sensitive attributes. In the context of link prediction in graphs, the fairness notions of demographic parity and equalized odds try to ensure equal average linking probability and true positive rates across different demographic groups consisting of various node pairs. Existing methods for achieving fairness in link pr…
Multicalibration in Fair Link Prediction
In this work, we expand the multicalibration fairness metric to graph-structured data. Machine learning models, including graph neural networks (GNNs), have been demonstrated to generate unfair results when trained on data containing biases towards certain demographic groups. Consequently, several fairness enhancing methods have been proposed to deal with such biases in the model predictions. To evaluate the performance of these methods, metrics …
Computer Science (4 works) · Data science (3 works) · Citation (2 works) · Law (2 works) · Political science (2 works) · Publishing (2 works) · World Wide Web (2 works) · 2019-20 coronavirus outbreak (1 work) · Academic Publishing and Open Access (1 work) · Advanced Fiber Laser Technologies (1 work)