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Do We Need Anisotropic Graph Neural Networks?

Do We Need Anisotropic Graph Neural Networks?

3 April 2021
Shyam A. Tailor
Felix L. Opolka
Pietro Lio
Nicholas D. Lane
ArXivPDFHTML

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

11 / 11 papers shown
Title
Contextualized Messages Boost Graph Representations
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
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization
Stefan Abi-Karam
Cong Hao
GNN
36
7
0
29 Mar 2023
Geometric Deep Learning for Molecular Crystal Structure Prediction
Geometric Deep Learning for Molecular Crystal Structure Prediction
Michael Kilgour
J. Rogal
M. Tuckerman
21
16
0
17 Mar 2023
Expander Graph Propagation
Expander Graph Propagation
Andreea Deac
Marc Lackenby
Petar Velivcković
96
52
0
06 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization
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
The CLRS Algorithmic Reasoning Benchmark
Petar Velivcković
Adria Puigdomenech Badia
David Budden
Razvan Pascanu
Andrea Banino
Mikhail Dashevskiy
R. Hadsell
Charles Blundell
163
88
0
31 May 2022
Embedding Graphs on Grassmann Manifold
Embedding Graphs on Grassmann Manifold
Bingxin Zhou
Xuebin Zheng
Yu Guang Wang
Ming Li
Junbin Gao
24
3
0
30 May 2022
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph
  Neural Network Inference
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference
Rishov Sarkar
Stefan Abi-Karam
Yuqiang He
Lakshmi Sathidevi
Cong Hao
AI4CE
GNN
30
27
0
27 Apr 2022
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
Sung Une Lee
Boming Xia
Yongan Zhang
Ang Li
Yingyan Lin
GNN
55
47
0
22 Dec 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
176
1,111
0
27 Apr 2021
Probabilistic Dual Network Architecture Search on Graphs
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
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