Do We Need Anisotropic Graph Neural Networks?

3 April 2021

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

6 / 6 papers shown

Title
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 36 1 0 19 Mar 2024
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization Stefan Abi-Karam Cong Hao GNN 8 7 0 29 Mar 2023
The CLRS Algorithmic Reasoning Benchmark Petar Velivcković Adria Puigdomenech Badia David Budden Razvan Pascanu Andrea Banino Mikhail Dashevskiy R. Hadsell Charles Blundell 151 86 0 31 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 42 45 0 22 Dec 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 161 1,095 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 34 27 0 21 Mar 2020