Web%0 Conference Paper %T GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training %A Tianle Cai %A Shengjie Luo %A Keyulu Xu %A Di He %A … http://proceedings.mlr.press/v139/cai21e/cai21e.pdf

ogbg-molpcba Benchmark (Graph Property Prediction) - Papers …

WebSep 7, 2024 · Normalization plays an important role in the optimization of deep neural networks.While there are standard normalization methods in computer vision and natural … WebThe current state-of-the-art on ogbg-molpcba is HIG(pre-trained on PCQM4M). See a full comparison of 30 papers with code. shared dining amersfoort

A Principled Approach to Accelerating Graph Neural …

WebProceedings of Machine Learning Research WebThis article is an introductory tutorial to build a Graph Convolutional Network (GCN) with Relay. In this tutorial, we will run our GCN on Cora dataset to demonstrate. Cora dataset is a common benchmark for Graph Neural Networks (GNN) and frameworks that support GNN training and inference. We directly load the dataset from DGL library to do the ... WebGraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai*, Shengjie Luo*, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang shared dimensions tableau