Evaluating Graph Generative Models with Contrastively Learned FeaturesNeural Information Processing Systems (NeurIPS), 2022 |
A Survey on Deep Graph Generation: Methods and ApplicationsLOG IN (LOG IN), 2022 |
Molecule Generation for Drug Design: a Graph Learning PerspectiveFundamental Research (FR), 2022 |
Keeping it Simple: Language Models can learn Complex Molecular
DistributionsNature Communications (Nat Commun), 2021 |
Deep Graph Generators: A SurveyIEEE Access (IEEE Access), 2020 |
Molecular graph generation with Graph Neural NetworksNeurocomputing (Neurocomputing), 2020 |
Topology-Aware Generative Adversarial Network for Joint Prediction of
Multiple Brain Graphs from a Single Brain GraphInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020 |
A Systematic Survey on Deep Generative Models for Graph GenerationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 |