Do We Need Anisotropic Graph Neural Networks?

3 April 2021

Papers citing "Do We Need Anisotropic Graph Neural Networks?"

10 / 10 papers shown

Title
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 72 2 0 19 Mar 2024
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization Stefan Abi-Karam Cong Hao GNN 30 7 0 29 Mar 2023
Geometric Deep Learning for Molecular Crystal Structure Prediction Michael Kilgour J. Rogal M. Tuckerman 18 16 0 17 Mar 2023
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 96 52 0 06 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 55 36 0 30 Sep 2022
The CLRS Algorithmic Reasoning Benchmark Petar Velivcković Adria Puigdomenech Badia David Budden Razvan Pascanu Andrea Banino Mikhail Dashevskiy R. Hadsell Charles Blundell 161 88 0 31 May 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 22 3 0 30 May 2022
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design Sung Une Lee Boming Xia Yongan Zhang Ang Li Yingyan Lin GNN 52 47 0 22 Dec 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021
Probabilistic Dual Network Architecture Search on Graphs Yiren Zhao Duo Wang Xitong Gao Robert D. Mullins Pietro Lió M. Jamnik GNN AI4CE 51 27 0 21 Mar 2020