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cs.LG2024★ 1 cited
Graph Mining under Data scarcity
Appan Rakaraddi, Lam Siew-Kei, Mahardhika Pratama +1
Multitude of deep learning models have been proposed for node classification in graphs. However, they tend to perform poorly under labeled-data scarcity. Although Few-shot learning…
cs.LG2022
Reinforced Continual Learning for Graphs
Appan Rakaraddi, Siew Kei Lam, Mahardhika Pratama +1
Graph Neural Networks (GNNs) have become the backbone for a myriad of tasks pertaining to graphs and similar topological data structures. While many works have been established in…