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Huijun Wu

2 accepted papers

2026

DeloopSGNN: Revisiting Spectral GNNs Through the Lens of Spatial Aggregation

AAAI 2026technical

Graph Neural Networks (GNNs) have been studied from two primary perspectives: spectral, which employs global graph signal filtering and is theoretically more expressive, and spatial, which builds on local neighborhood aggregation and generalizes well across diverse graph structures. While spectral G

Cited by 0SourcePDFScholar
2025

Incomplete Multi-view Deep Clustering with Data Imputation and Alignment

NeurIPS 2025poster

Incomplete multi-view deep clustering is an emerging research hot-pot to incorporate data information of multiple sources or modalities when parts of them are missing. Most of existing approaches encode the available data observations into multiple view-specific latent representations and subsequent…

Cited by 0SourceScholar