Ruixiao Zeng

Unifews: You Need Fewer Operations for Efficient Graph Neural Networks

Graph Neural Networks (GNNs) have shown promising performance, but at the cost of resource-intensive operations on graph-scale matrices. To reduce computational overhead, previous studies attempt to sparsify the graph or network parameters, but with limited flexibility and precision boundaries. In t…