Geometric Graphs From Data To Aid Classification Tasks With Graph Convolutional Networks

May 23, 2026
Media Summary: Research talk by Yifan Qian at NetSci 2020. Paper: Chao Wang1, Zheng Tang2, Hailu Xu3 1China Academy of Railway Sciences Corporation Limited, China, 2NVIDIA, USA, ... TLDR: Learn disentangled node representation by automatically inferring the latent factor between edges in a

Geometric Graphs From Data To Aid Classification Tasks With Graph Convolutional Networks - Detailed Analysis & Overview

Research talk by Yifan Qian at NetSci 2020. Paper: Chao Wang1, Zheng Tang2, Hailu Xu3 1China Academy of Railway Sciences Corporation Limited, China, 2NVIDIA, USA, ... TLDR: Learn disentangled node representation by automatically inferring the latent factor between edges in a Become The AI Epiphany Patreon ❤️ ‍ ‍ ‍ Join our Discord community ... Big thanks to MakinaRocks for sponsoring this video, and I encourage you to check out Link which is a jupter lab extension they ... Become The AI Epiphany Patreon ❤️ ▻

In this video I talk about edge weights, edge types and edge features and how to include them in

Photo Gallery

Geometric graphs from data to aid classification tasks with graph convolutional networks
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