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Rahul Ragesh — most-cited papers & profile · Graph Learning
← authors
·
overview
Rahul Ragesh
7
papers ·
15
citations ·
5
h-index
Microsoft Research (India)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs
2021 · 6 citations
A Graph Convolutional Network Composition Framework for Semi-supervised Classification
2020 · 2 citations
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks
2021 · 2 citations
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
2021 · 1 citations
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks
2021
Top co-authors
Arun Iyer
· 5
Vijay Lingam
· 5
Sundararajan Sellamanickam
· 4
Chanakya Ekbote
· 1
Manan Sharma
· 1
Topics
GNN Architectures
Theory & Expressivity
Self-Supervised & Contrastive