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Xin Juan

2 accepted papers

2025

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space

IJCAI 2025

Graph Neural Networks (GNNs) have shown great success in various graph-based learning tasks. However, it often faces the issue of over-smoothing as the model depth increases, which causes all node representations to converge to a single value and become indistinguishable. This issue stems from the i

2024

Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision

CVPR 2024poster

The premise for the great advancement of molecular machine learning is dependent on a considerable amount of labeled data. In many real-world scenarios the labeled molecules are limited in quantity or laborious to derive. Recent pseudo-labeling methods are usually designed based on a single domain k…

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