Residual Connections and Normalization Can Provably Prevent
Oversmoothing in GNNs

Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs

5 June 2024

Michael Scholkemper

Xinyi Wu

Michael T. Schaub

Papers citing "Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs"

4 / 4 papers shown

Title
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 197 309 0 15 Oct 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 916 0 02 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 246 4,489 0 23 Jan 2020
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 280 1,400 0 01 Dec 2016