EDGCNet: Joint dynamic hyperbolic graph convolution and dual squeeze-and-attention for 3D point cloud segmentation
Summary
EDGCNet: Joint dynamic hyperbolic graph convolution and dual squeeze-and-attention for 3D point cloud segmentation is a scholarly article[1].
Key Facts
EDGCNet: Joint dynamic hyperbolic graph convolution and dual squeeze-and-attention for 3D point cloud segmentation's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). EDGCNet: Joint dynamic hyperbolic graph convolution and dual squeeze-and-attention for 3D point cloud segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/edgcnet-joint-dynamic-hyperbolic-graph-convolution-and-dual-squeeze-and-attention-for-3d-point-cloud-segmentation
MLA“EDGCNet: Joint dynamic hyperbolic graph convolution and dual squeeze-and-attention for 3D point cloud segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/edgcnet-joint-dynamic-hyperbolic-graph-convolution-and-dual-squeeze-and-attention-for-3d-point-cloud-segmentation.
BibTeX@misc{4ortxyz_edgcnet-joint-dynamic-hyperbolic-graph-convolution-and-dual-squeeze-and-attention-for-3d-point-cloud-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EDGCNet: Joint dynamic hyperbolic graph convolution and dual squeeze-and-attention for 3D point cloud segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/edgcnet-joint-dynamic-hyperbolic-graph-convolution-and-dual-squeeze-and-attention-for-3d-point-cloud-segmentation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EDGCNet: Joint dynamic hyperbolic graph convolution and dual squeeze-and-attention for 3D point cloud segmentation — https://4ort.xyz/entity/edgcnet-joint-dynamic-hyperbolic-graph-convolution-and-dual-squeeze-and-attention-for-3d-point-cloud-segmentation (retrieved 2026-05-24)