most citedBenchmarking the Effectiveness of Classification Algorithms and SVM Kernels for Dry Beans

2 citations · 5 across the 4 of their papers we have counts for

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2 papers

eess.IV2025★ 1 cited

FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification

Prajit Sengupta, Islem Rekik

Medical image classification requires not only high predictive performance but also interpretability to ensure clinical trust and adoption. Graph Neural Networks (GNNs) offer a pow…

cs.LG2025

X-Node: Self-Explanation is All We Need

Prajit Sengupta, Islem Rekik

Graph neural networks (GNNs) have achieved state-of-the-art results in computer vision and medical image classification tasks by capturing structural dependencies across data insta…