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Accurate, Efficient and Scalable Graph Embedding
v1v2v3 (latest)

Accurate, Efficient and Scalable Graph Embedding

28 October 2018
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
    GNN
ArXiv (abs)PDFHTML

Papers citing "Accurate, Efficient and Scalable Graph Embedding"

24 / 24 papers shown
Title
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
Xuewen Dong
Jiachen Li
Shujun Li
Zhichao You
Qiang Qu
Yaroslav Kholodov
Yulong Shen
AAML
135
1
0
12 Mar 2025
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large
  Graphs
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs
Loc Hoang
Rita Brugarolas Brufau
Ke Ding
Bo Wu
GNN
61
2
0
23 Jun 2023
Binary Graph Convolutional Network with Capacity Exploration
Binary Graph Convolutional Network with Capacity Exploration
Junfu Wang
Yuanfang Guo
Liang Yang
Yun-an Wang
GNN
51
5
0
24 Oct 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural
  Networks
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Chuang Liu
Xueqi Ma
Yinbing Zhan
Liang Ding
Dapeng Tao
Di Lin
Wenbin Hu
Danilo Mandic
72
32
0
18 Jul 2022
Scalable algorithms for physics-informed neural and graph networks
Scalable algorithms for physics-informed neural and graph networks
K. Shukla
Mengjia Xu
N. Trask
George Karniadakis
PINNAI4CE
131
41
0
16 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
139
109
0
16 May 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
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
62
44
0
10 Feb 2022
Decoupling the Depth and Scope of Graph Neural Networks
Decoupling the Depth and Scope of Graph Neural Networks
Hanqing Zeng
Muhan Zhang
Yinglong Xia
Ajitesh Srivastava
Andrey Malevich
Rajgopal Kannan
Viktor Prasanna
Long Jin
Ren Chen
GNN
92
146
0
19 Jan 2022
Local2Global: A distributed approach for scaling representation learning
  on graphs
Local2Global: A distributed approach for scaling representation learning on graphs
Lucas G. S. Jeub
Giovanni Colavizza
Xiaowen Dong
Marya Bazzi
Ning Zhang
66
1
0
12 Jan 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
139
52
0
22 Dec 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and
  Strong Simple Methods
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Derek Lim
Felix Hohne
Xiuyu Li
Sijia Huang
Vaishnavi Gupta
Omkar Bhalerao
Ser-Nam Lim
135
360
0
27 Oct 2021
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and
  Efficiency
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency
Yongan Zhang
Haoran You
Yonggan Fu
Tong Geng
Ang Li
Yingyan Lin
GNN
87
29
0
18 Sep 2021
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and
  Hardware
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware
Xin Liu
Yurui Lai
Shuhan Song
Zhengyang Lv
Wenming Li
Guangyu Sun
Xiaochun Ye
Xiaochun Ye
59
13
0
26 Aug 2021
A High Throughput Parallel Hash Table on FPGA using XOR-based Memory
A High Throughput Parallel Hash Table on FPGA using XOR-based Memory
Ruizhi Zhang
Sasindu Wijeratne
Yang Yang
S. Kuppannagari
Viktor Prasanna
48
5
0
07 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified
  Framework for Graph Neural Networks
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
160
20
0
21 Jul 2021
Large-Scale Network Embedding in Apache Spark
Large-Scale Network Embedding in Apache Spark
Wenqing Lin
GNN
53
18
0
20 Jun 2021
Optimizing Graph Transformer Networks with Graph-based Techniques
Optimizing Graph Transformer Networks with Graph-based Techniques
Loc Hoang
U. Agarwal
G. Gill
Roshan Dathathri
Abhik Seal
Brian Martin
K. Pingali
GNN
46
0
0
16 Jun 2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
Hongkuan Zhou
Ajitesh Srivastava
Hanqing Zeng
Rajgopal Kannan
Viktor Prasanna
GNN
61
67
0
10 May 2021
Sampling methods for efficient training of graph convolutional networks:
  A survey
Sampling methods for efficient training of graph convolutional networks: A survey
Xin Liu
Yurui Lai
Lei Deng
Guoqi Li
Xiaochun Ye
Xiaochun Ye
GNN
86
105
0
10 Mar 2021
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
Haoran You
Zhihan Lu
Zijian Zhou
Y. Fu
Yingyan Lin
GNN
107
33
0
01 Mar 2021
GraphCrop: Subgraph Cropping for Graph Classification
GraphCrop: Subgraph Cropping for Graph Classification
Yiwei Wang
Wei Wang
Yuxuan Liang
Yujun Cai
Bryan Hooi
86
59
0
22 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
Santosh Pandey
Lingda Li
A. Hoisie
Xin Li
Hang Liu
60
62
0
18 Sep 2020
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms
Hanqing Zeng
Viktor Prasanna
GNN
64
130
0
31 Dec 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
143
969
0
10 Jul 2019
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