Computing Graph Neural Networks: A Survey from Algorithms to Accelerators

30 September 2020

Papers citing "Computing Graph Neural Networks: A Survey from Algorithms to Accelerators"

31 / 81 papers shown

Title
coVariance Neural Networks Saurabh Sihag Gonzalo Mateos Corey McMillan Alejandro Ribeiro 31 10 0 31 May 2022
Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset Generation Axel Wassington S. Abadal 11 4 0 27 May 2022
Dual-Perspective Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels Tao Pu Tianshui Chen Hefeng Wu Yukai Shi Zhijing Yang Liang Lin 31 10 0 26 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks Sumit K. Mandal Gokul Krishnan A. Alper Goksoy Gopikrishnan R. Nair Yu Cao Ümit Y. Ogras GNN 29 10 0 15 May 2022
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
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification Zhaohui Wang Qi Cao Huawei Shen Bingbing Xu Xueqi Cheng 28 2 0 22 Mar 2022
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization Tong Geng Chunshu Wu Yongan Zhang Cheng Tan Chenhao Xie Haoran You Martin C. Herbordt Yingyan Lin Ang Li GNN 18 107 0 07 Mar 2022
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels Tao Pu Tianshui Chen Hefeng Wu Liang Lin 41 38 0 04 Mar 2022
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation Sina Sajadmanesh Ali Shahin Shamsabadi A. Bellet D. Gática-Pérez 30 63 0 02 Mar 2022
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks Ranggi Hwang M. Kang Jiwon Lee D. Kam Youngjoo Lee Minsoo Rhu GNN 16 20 0 01 Mar 2022
Blocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators P. S. Labini M. Bernaschi Francesco Silvestri Flavio Vella 20 3 0 11 Feb 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye Shirui Pan Yuan Xie GNN 16 42 0 10 Feb 2022
GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration Stefan Abi-Karam Yuqi He Rishov Sarkar Lakshmi Sathidevi Zihang Qiao Cong Hao GNN 14 14 0 20 Jan 2022
Attention-Based Recommendation On Graphs Taher Hekmatfar Saman Haratizadeh Parsa Razban S. Goliaei GNN 19 2 0 04 Jan 2022
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters Takanori Maehara Hoang NT 41 2 0 05 Nov 2021
Efficient Scaling of Dynamic Graph Neural Networks Venkatesan T. Chakaravarthy Shivmaran S. Pandian S. Raje Yogish Sabharwal Toyotaro Suzumura Shashanka Ubaru GNN 39 22 0 16 Sep 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 37 42 0 24 Aug 2021
HW2VEC: A Graph Learning Tool for Automating Hardware Security S. Yu Rozhin Yasaei Qingrong Zhou Tommy Nguyen Mohammad Abdullah Al Faruque 16 36 0 26 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 44 18 0 21 Jul 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson 16 178 0 27 May 2021
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators Raveesh Garg Eric Qin Francisco Munoz-Martínez Robert Guirado Akshay Jain ... José L. Abellán M. Acacio Eduard Alarcón S. Rajamanickam T. Krishna GNN 14 18 0 14 Mar 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Xiuming Zhang Junsong Yuan Dacheng Tao GNN 148 96 0 10 Jan 2021
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding Xuhong Wang Ding Lyu Mengjian Li Yang Xia Qi Yang ... Xinguang Wang Ping Cui Yupu Yang Bowen Sun Zhenyu Guo GNN 29 136 0 23 Nov 2020
A Practical Tutorial on Graph Neural Networks I. Ward J. Joyner C. Lickfold Yulan Guo Bennamoun GNN AI4CE 27 12 0 11 Oct 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 171 738 0 02 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 917 0 02 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 2019
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 1,401 0 01 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,240 0 24 Nov 2016