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Kang-Jie Zheng

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#artificial intelligence Preprint Oct 2026

Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering

Graph clustering is a fundamental task in data analysis, aiming at grouping nodes with similar characteristics in the graph into clusters. This problem has been widely explored using graph neural networks (GNNs) due to their ability to leverage node attributes and graph topology for effective cluster assignments. Howev...

Wei Ju, Si-Yu Yi, Kang-Jie Zheng et al. · 1 citation
Open access Sep 2026

CrossMol: Cross-Modal Mask-Predict Pre-training For 3D Molecular Data.

MOTIVATION Self-supervised pre-training models for molecular data have demonstrated notable results across many downstream tasks. The inherent multimodal properties of molecules have also motivated efforts to capture information from different modalities. However, current multimodal molecular pre-training models usuall...

Kang-Jie Zheng, Jun-Wei Yang, Siyu Long et al. · 0 citations

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