Jianpeng Chen

Graph Attention Networks with LSTM-based Path Reweighting.

2021 · arXiv (Cornell University)

Graph Neural Networks (GNNs) have been extensively used for mining graph-structured data with impressive performance. However, traditional GNNs suffer from over-smoothing, non-robustness and over-fitting problems. To solve these weaknesses, we design a novel GNN solution, …

Quantum machine learning of molecular energies with hybrid quantum-neural wavefunction

2025 · Digital Discovery

The combination of quantum circuits and neural networks allows efficient quantum machine learning of molecular wavefunction.

ExpStar: Towards Automatic Commentary Generation for Multi-discipline Scientific Experiments

2025

Experiment commentary is crucial in describing the experimental procedures, delving into underlying scientific principles, and incorporating content-related safety guidelines. In practice, human teachers rely heavily on subject-specific expertise and invest significant time preparing such commentary. …