Author

Priyanka Saha

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#machine learning Preprint Sep 2026

Learning the Graph and the Embedding Together: Classifier-Independent Rewiring for Heterophilic Node Classification

An affinity-guided rewiring method that estimates the graph and the node representation together and alternates, in the spirit of expectation maximisation, between training a lightweight graph neural network on the current graph and re-weighting candidate edges under a modularity objective with a pseudo-label homophily...

Harshit Kumar, Sujan Chakraborty, Priyanka Saha et al. · 0 citations

#machine learning Preprint Sep 2026

HERALD: High-Fidelity Exemplar Retrieval with Adaptive Landmark Distillation for Heterophily-Aware Graph Condensation

Graph condensation aims to produce a small surrogate graph that preserves the downstream node-classification performance of a much larger original graph. Existing methods rely on Weisfeiler-Lehman neighbourhood aggregation or gradient-based distribution matching, both of which assume that adjacent nodes share the same...

Sujan Chakraborty, Priyanka Saha, S. Bej · 0 citations