On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction. - Edward Elson Kosasih; Joaquín Cabezas; Xavier Sumba; Piotr Bielak; Kamil Tagowski; Kelvin Idanwekhai; Benedict Aaron Tjandra; Arian Rokkum Jamasb (CoRR, 2021)

Reinforcement Learning Provides a Flexible Approach for Realistic Supply Chain Safety Stock Optimisation. - Edward Elson Kosasih; Alexandra Brintrup (CoRR, 2021)

Supply Chain Digital Twin Framework Design: An Approach of Supply Chain Operations Reference Model and System of Systems. - Jie Zhang 125; Alexandra Brintrup; Anisoara Calinescu; Edward Elson Kosasih; Angira Sharma (CoRR, 2021)

Data Considerations in Graph Representation Learning for Supply Chain Networks. - Ajmal Aziz; Edward Elson Kosasih; Ryan-Rhys Griffiths; Alexandra Brintrup (CoRR, 2021)

GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation. - Edward Elson Kosasih; Rucha Bhalchandra Joshi; Janamejaya Channegowda (CoRR, 2021)

A machine learning approach for predicting hidden links in supply chain with graph neural networks. - Edward Elson Kosasih; Alexandra Brintrup (Int. J. Prod. Res., 2022)

Dynamic inventory replenishment strategy for aerospace manufacturing supply chain: combining reinforcement learning and multi-agent simulation. - Hao Wang 133; Jiaqi Tao; Tao Peng 012; Alexandra Brintrup; Edward Elson Kosasih; Yuqian Lu; Renzhong Tang; Luoke Hu (Int. J. Prod. Res., 2022)

Digital Twins: State of the art theory and practice, challenges, and open research questions. - Angira Sharma; Edward Elson Kosasih; Jie Zhang 125; Alexandra Brintrup; Anisoara Calinescu (J. Ind. Inf. Integr., 2022)

Supply Chain Link Prediction on Uncertain Knowledge Graph. - Nils Brockmann; Edward Elson Kosasih; Alexandra Brintrup (SIGKDD Explor., 2022)

Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks. - Alexandra Brintrup; Edward Elson Kosasih; Philipp Schaffer; Ge Zheng; Güven Demirel; Bart L. MacCarthy (Int. J. Prod. Res., 2024)

Towards knowledge graph reasoning for supply chain risk management using graph neural networks. - Edward Elson Kosasih; Fabrizio Margaroli; Simone Gelli; Ajmal Aziz; Nick Wildgoose; Alexandra Brintrup (Int. J. Prod. Res., 2024)

A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches. - Edward Elson Kosasih; Emmanuel Papadakis 002; George Baryannis; Alexandra Brintrup (Int. J. Prod. Res., 2024)

Towards trustworthy AI for link prediction in supply chain knowledge graph: a neurosymbolic reasoning approach. - Edward Elson Kosasih; Alexandra Brintrup (Int. J. Prod. Res., 2025)