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Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
Improving Graph Networks through Selection-based Convolution
Keynote presented at the AoIR 2025 satellite event "Disinformation, Social Media Platforms, and...
breast cancer is a disease which is more common in females. Introduction and definition of breast c...
Breast cancer
Learning Graph Neural Networks for Image Style Transfer
FOR MANAGING CA STOMACH
This presentation explains about morphology and growth stages of rice.
A long case presenting carcinoma breast. Surgery long case presentation.
Lymph
In this tumour board discussion, there are oncology cases in which the further management seems a bi...
Finding the broadcast time of any node in an arbitrary network is NP-complete. Polynomial time solut...
Anatomy of the scalp and limited clinical correlation.
breast
High-Performance Computing Parallel Computing Distributed Computing Cluster Computing Grid Computing...
Sorghum introduction, selfing and crossing.
Review
Thymus Bone marrow Lymphnodes Spleen
Thymus Bonemarrow Lymphnodes Spleen
The PowerPoint presentation on "Endometrial Cancer Diagnosis and Management" was presented...
O&G
Remote Briefing to the Data & Compute Architecture Study Workshop September 7, 2022
![[20240624_LabSeminar_Huy]Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective.pptx](https://slidepub.com/thumb/9528/269849528.jpg)
![[NS][Lab_Seminar_240710]Improving Graph Networks through Selection-based Convolution.pptx](https://slidepub.com/thumb/2911/270432911.jpg)
![[NS][Lab_Seminar_240826]Learning Graph Neural Networks for Image Style Transfer.pptx](https://slidepub.com/thumb/4944/271354944.jpg)
![Morphology_and_growth_stages_of_Rice[1].pptx](https://slidepub.com/thumb/7939/270097939.jpg)
