1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2025
Layer-to-Layer Knowledge Mixing in Graph Neural Network for Chemical Property Prediction
Teng Jiek See, Daokun Zhang, Mario Boley +1
Graph Neural Networks (GNNs) are the currently most effective methods for predicting molecular properties but there remains a need for more accurate models. GNN accuracy can be imp…
cs.LG2025
Towards the Next-generation Bayesian Network Classifiers
Huan Zhang, Daokun Zhang, Kexin Meng +1
Bayesian network classifiers provide a feasible solution to tabular data classification, with a number of merits like high time and memory efficiency, and great explainability. How…
cs.LG2024★ 1 cited
Label Distribution Learning using the Squared Neural Family on the Probability Simplex
Daokun Zhang, Russell Tsuchida, Dino Sejdinovic
Label distribution learning (LDL) provides a framework wherein a distribution over categories rather than a single category is predicted, with the aim of addressing ambiguity in la…