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). GCNH: A Simple Method For Representation Learning On Heterophilous Graphs. Retrieved May 24, 2026, from https://4ort.xyz/entity/gcnh-a-simple-method-for-representation-learning-on-heterophilous-graphs
MLA“GCNH: A Simple Method For Representation Learning On Heterophilous Graphs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gcnh-a-simple-method-for-representation-learning-on-heterophilous-graphs.
BibTeX@misc{4ortxyz_gcnh-a-simple-method-for-representation-learning-on-heterophilous-graphs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GCNH: A Simple Method For Representation Learning On Heterophilous Graphs}}, year = {2026}, url = {https://4ort.xyz/entity/gcnh-a-simple-method-for-representation-learning-on-heterophilous-graphs}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GCNH: A Simple Method For Representation Learning On Heterophilous Graphs — https://4ort.xyz/entity/gcnh-a-simple-method-for-representation-learning-on-heterophilous-graphs (retrieved 2026-05-24)
