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Chee-Kong Lee

2 accepted papers

2022

Hierarchical Graph Transformer with Adaptive Node Sampling

NeurIPS 2022accept

The Transformer architecture has achieved remarkable success in a number of domains including natural language processing and computer vision. However, when it comes to graph-structured data, transformers have not achieved competitive performance, especially on large graphs. In this paper, we identi…

2021

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction

NeurIPS 2021poster

Predicting molecular properties with data-driven methods has drawn much attention in recent years. Particularly, Graph Neural Networks (GNNs) have demonstrated remarkable success in various molecular generation and prediction tasks. In cases where labeled data is scarce, GNNs can be pre-trained on u…