Do We Need Anisotropic Graph Neural Networks?

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Do We Need Anisotropic Graph Neural Networks?

International Conference on Learning Representations (ICLR), 2021

3 April 2021

Shyam A. Tailor

Felix L. Opolka

Nicholas D. Lane

ArXiv (abs)PDF HTML Github (33★)

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

16 / 16 papers shown

Title
Learning from Heterophilic Graphs: A Spectral Theory Perspective on the Impact of Self-Loops and Parallel Edges Kushal Bose Swagatam Das 84 0 0 16 Sep 2025
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers James H. Tanis Chris Giannella Adrian V. Mariano AI4CE GNN FaML PINN 243 3 0 27 Dec 2024
Introducing Diminutive Causal Structure into Graph Representation Learning Hang Gao Peng Qiao Yifan Jin Fengge Wu Jiangmeng Li Changwen Zheng 193 6 0 13 Jun 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 416 4 0 19 Mar 2024
Network Preference Dynamics using Lattice TheoryAmerican Control Conference (ACC), 2023 Hans Riess Gregory Henselman-Petrusek Michael C. Munger Robert Ghrist Zachary I. Bell Michael M. Zavlanos 197 0 0 29 Sep 2023
Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logistics Alexander Naumann Felix Hertlein Laura Dörr K. Furmans 104 7 0 18 Apr 2023
The expressive power of pooling in Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023 F. Bianchi Veronica Lachi 218 42 0 04 Apr 2023
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and OptimizationInternational Conference on Field-Programmable Logic and Applications (FPL), 2023 Stefan Abi-Karam Cong Hao GNN 243 9 0 29 Mar 2023
Geometric Deep Learning for Molecular Crystal Structure PredictionJournal of Chemical Theory and Computation (JCTC), 2023 Michael Kilgour Jutta Rogal M. Tuckerman 169 24 0 17 Mar 2023
Expander Graph PropagationLOG IN (LOG IN), 2022 Andreea Deac Marc Lackenby Petar Velivcković 295 68 0 06 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP InitializationInternational Conference on Learning Representations (ICLR), 2022 Xiaotian Han Tong Zhao Yozen Liu Helen Zhou Neil Shah GNN 448 45 0 30 Sep 2022
Embedding Graphs on Grassmann ManifoldNeural Networks (NN), 2022 Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 152 3 0 30 May 2022
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network InferenceInternational Symposium on High-Performance Computer Architecture (HPCA), 2022 Rishov Sarkar Stefan Abi-Karam Yuqiang He Lakshmi Sathidevi Cong Hao AI4CE GNN 205 45 0 27 Apr 2022
How Expressive are Transformers in Spectral Domain for Graphs? Anson Bastos Abhishek Nadgeri Kuldeep Singh Toyotaro Suzumura Toyotaro Suzumura I. Mulang' 172 16 0 23 Jan 2022
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-DesignInternational Symposium on High-Performance Computer Architecture (HPCA), 2021 Sung Une Lee Boming Xia Yongan Zhang Ang Li Yingyan Lin GNN 298 62 0 22 Dec 2021
Benchmarking Graph Neural NetworksJournal of machine learning research (JMLR), 2023 Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 1.2K 1,083 0 02 Mar 2020