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). MTGCN: A multi-task approach for node classification and link prediction in graph data. Retrieved May 24, 2026, from https://4ort.xyz/entity/mtgcn-a-multi-task-approach-for-node-classification-and-link-prediction-in-graph-data
MLA“MTGCN: A multi-task approach for node classification and link prediction in graph data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mtgcn-a-multi-task-approach-for-node-classification-and-link-prediction-in-graph-data.
BibTeX@misc{4ortxyz_mtgcn-a-multi-task-approach-for-node-classification-and-link-prediction-in-graph-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MTGCN: A multi-task approach for node classification and link prediction in graph data}}, year = {2026}, url = {https://4ort.xyz/entity/mtgcn-a-multi-task-approach-for-node-classification-and-link-prediction-in-graph-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MTGCN: A multi-task approach for node classification and link prediction in graph data — https://4ort.xyz/entity/mtgcn-a-multi-task-approach-for-node-classification-and-link-prediction-in-graph-data (retrieved 2026-05-24)
