FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs

no code implementations • 27 Dec 2023 • Christopher Adnel, Islem Rekik

Our three core contributions lie in (i) designing FALCON, a topology-aware graph reduction technique that preserves feature-label distribution; (ii) implementation of FALCON with other memory reduction methods (i. e., mini-batched GNN and quantization) for further memory reduction; (iii) extensive benchmarking and ablation studies against SOTA methods to evaluate FALCON memory reduction.

Benchmarking Quantization