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Purvanshi Mehta

2 accepted papers

2025

Heterogeneous Graph Neural Network on Semantic Tree

AAAI 2025technical

The recent past has seen an increasing interest in Heterogeneous Graph Neural Networks (HGNNs), since many real-world graphs are heterogeneous in nature, from citation graphs to email graphs. However, existing methods ignore a tree hierarchy among metapaths, naturally constituted by different node t…

2024

Interpretable Tensor Fusion

IJCAI 2024poster

Conventional machine learning methods are predominantly designed to predict outcomes based on a single data type. However, practical applications may encompass data of diverse types, such as text, images, and audio. We introduce interpretable tensor fusion (InTense), a multimodal learning method tra…

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