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). DDGCN: graph convolution network based on direction and distance for point cloud learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/ddgcn-graph-convolution-network-based-on-direction-and-distance-for-point-cloud-learning
MLA“DDGCN: graph convolution network based on direction and distance for point cloud learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ddgcn-graph-convolution-network-based-on-direction-and-distance-for-point-cloud-learning.
BibTeX@misc{4ortxyz_ddgcn-graph-convolution-network-based-on-direction-and-distance-for-point-cloud-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DDGCN: graph convolution network based on direction and distance for point cloud learning}}, year = {2026}, url = {https://4ort.xyz/entity/ddgcn-graph-convolution-network-based-on-direction-and-distance-for-point-cloud-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DDGCN: graph convolution network based on direction and distance for point cloud learning — https://4ort.xyz/entity/ddgcn-graph-convolution-network-based-on-direction-and-distance-for-point-cloud-learning (retrieved 2026-05-24)
