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Arijit Sehanobish — most-cited papers & profile · Graph Learning
← authors
·
overview
Arijit Sehanobish
9
papers ·
0
citations ·
6
h-index
Washington Center
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
SWING: Unlocking Implicit Graph Representations for Graph Random Features
2026
Computationally-efficient Graph Modeling with Refined Graph Random Features
2025
Rotary Position Encodings for Graphs
2025
Using Chinese Glyphs for Named Entity Recognition
2019
Disease State Prediction From Single-Cell Data Using Graph Attention Networks
2020
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks
2020
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
2021
Efficient Graph Field Integrators Meet Point Clouds
2023
Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs
2024
Top co-authors
Krzysztof Choromanski
· 6
Avinava Dubey
· 4
Adrian Weller
· 3
Isaac Reid
· 3
David van Dijk
· 2
Han Lin
· 2
Neal G. Ravindra
· 2
Tamas Sarlos
· 2
Tianyi Zhang
· 2
Valerii Likhosherstov
· 2
Alessandro Manenti
· 1
Alvin Pan
· 1
Topics
cs.LG
cs.AI
Uncategorized
stat.ML
q-bio.GN