8 citations · 23 across the 17 of their papers we have counts for
Showing 2022 · cs.LGShow all
2 papers · 2 filters
cs.LG2022★ 3 cited
Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy
Md. Khaledur Rahman, Ariful Azad
Graph Neural Networks (GNNs) are widely used to perform different machine learning tasks on graphs. As the size of the graphs grows, and the GNNs get deeper, training and inference…
cs.LG2022
MarkovGNN: Graph Neural Networks on Markov Diffusion
Md. Khaledur Rahman, Abhigya Agrawal, Ariful Azad
Most real-world networks contain well-defined community structures where nodes are densely connected internally within communities. To learn from these networks, we develop MarkovG…