Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices. Retrieved May 24, 2026, from https://4ort.xyz/entity/blockgnn-towards-efficient-gnn-acceleration-using-block-circulant-weight-matrices
MLA“BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/blockgnn-towards-efficient-gnn-acceleration-using-block-circulant-weight-matrices.
BibTeX@misc{4ortxyz_blockgnn-towards-efficient-gnn-acceleration-using-block-circulant-weight-matrices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices}}, year = {2026}, url = {https://4ort.xyz/entity/blockgnn-towards-efficient-gnn-acceleration-using-block-circulant-weight-matrices}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices — https://4ort.xyz/entity/blockgnn-towards-efficient-gnn-acceleration-using-block-circulant-weight-matrices (retrieved 2026-05-24)
