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). GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. Retrieved May 24, 2026, from https://4ort.xyz/entity/gbk-gnn-gated-bi-kernel-graph-neural-networks-for-modeling-both-homophily-and-heterophily
MLA“GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gbk-gnn-gated-bi-kernel-graph-neural-networks-for-modeling-both-homophily-and-heterophily.
BibTeX@misc{4ortxyz_gbk-gnn-gated-bi-kernel-graph-neural-networks-for-modeling-both-homophily-and-heterophily_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily}}, year = {2026}, url = {https://4ort.xyz/entity/gbk-gnn-gated-bi-kernel-graph-neural-networks-for-modeling-both-homophily-and-heterophily}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily — https://4ort.xyz/entity/gbk-gnn-gated-bi-kernel-graph-neural-networks-for-modeling-both-homophily-and-heterophily (retrieved 2026-05-24)