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FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling

FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

30 January 2018
Jie Chen
Tengfei Ma
Cao Xiao
    GNN
ArXivPDFHTML

Papers citing "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling"

50 / 694 papers shown
Title
Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training
Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training
Aditya K. Ranjan
Siddharth Singh
Cunyang Wei
A. Bhatele
GNN
53
0
0
07 May 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
Vignesh Balaji
Christos Kozyrakis
Gal Chechik
Haggai Maron
GNN
37
0
0
25 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
39
0
0
25 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs
Zichao Yue
Chenhui Deng
Zhiru Zhang
AI4CE
32
0
0
17 Apr 2025
Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation
Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation
Aoran Liu
Kun Hu
Clinton Mo
C. Li
Zhiyong Wang
3DH
AI4CE
38
0
0
16 Apr 2025
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks
Or Feldman
Krishna Sri Ipsit Mantri
Carola-Bibiane Schönlieb
Chaim Baskin
Moshe Eliasof
AI4TS
31
0
0
09 Apr 2025
Sparsity-Aware Communication for Distributed Graph Neural Network Training
Sparsity-Aware Communication for Distributed Graph Neural Network Training
Ujjaini Mukhodopadhyay
Alok Tripathy
Oguz Selvitopi
Katherine Yelick
A. Buluç
39
1
0
07 Apr 2025
Causal invariant geographic network representations with feature and structural distribution shifts
Causal invariant geographic network representations with feature and structural distribution shifts
Yuhan Wang
Silu He
Qinyao Luo
Hongyuan Yuan
Ling Zhao
Jiawei Zhu
Haifeng Li
OOD
64
0
0
25 Mar 2025
Channel-Attentive Graph Neural Networks
Tuğrul Hasan Karabulut
İnci M. Baytaş
47
0
0
01 Mar 2025
Accurate and Scalable Graph Neural Networks via Message Invariance
Accurate and Scalable Graph Neural Networks via Message Invariance
Zhihao Shi
Jie Wang
Zhiwei Zhuang
Xize Liang
Bin Li
Feng Wu
54
1
0
27 Feb 2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
R. Waleffe
Devesh Sarda
J. Mohoney
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
52
0
0
25 Feb 2025
GiGL: Large-Scale Graph Neural Networks at Snapchat
GiGL: Large-Scale Graph Neural Networks at Snapchat
Tong Zhao
Yozen Liu
Matthew Kolodner
Kyle Montemayor
Elham Ghazizadeh
...
Serim Park
Peicheng Yu
Jun Yu
Shubham Vij
Neil Shah
GNN
60
0
0
24 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
Xiangjin Xie
Yangyi Chen
Ruipeng Wang
Kai Ouyang
Zihan Zhang
...
Buyue Qian
Hansen Zheng
Bo Hu
Chengxiang Zhuo
Zang Li
74
3
0
12 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Jasraj Singh
Keyue Jiang
Brooks Paige
Laura Toni
70
1
0
11 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Xuben Wang
Muhan Zhang
107
0
0
04 Feb 2025
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Jie Chen
AI4CE
59
2
0
28 Jan 2025
Graph Condensation: A Survey
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
93
19
0
28 Jan 2025
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
Xiang Wu
Xunkai Li
Rong-Hua Li
Kangfei Zhao
Guoren Wang
AI4TS
AI4CE
56
0
0
27 Jan 2025
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
Hao Wu
Haomin Wen
Guibin Zhang
Yutong Xia
Kai Wang
Yuxuan Liang
Yu Zheng
Kun Wang
68
2
0
17 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report
Haipeng Ding
Zhewei Wei
Yuhang Ye
36
0
0
08 Jan 2025
Optimizing Supply Chain Networks with the Power of Graph Neural Networks
Optimizing Supply Chain Networks with the Power of Graph Neural Networks
Chi-Sheng Chen
Ying-Jung Chen
AI4TS
42
3
0
07 Jan 2025
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural
  Network Training
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training
Shuyin Xia
Xinjun Ma
Zhiyuan Liu
Cheng Liu
Sen Zhao
G. Wang
71
2
0
18 Dec 2024
Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph
  Convolution Network for sEEG SOZ Identification
Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph Convolution Network for sEEG SOZ Identification
Huachao Yan
K. Guo
Shiwei Song
Yihai Dai
Xiaoqiang Wei
Xiaofen Xing
Xiangmin Xu
76
0
0
17 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven
A Decade of Deep Learning: A Survey on The Magnificent Seven
Dilshod Azizov
Muhammad Arslan Manzoor
Velibor Bojkovic
Yingxu Wang
Zhilin Wang
...
Liang Li
Siwei Liu
Yu Zhong
Wei Liu
Shangsong Liang
OOD
AI4TS
MedIm
120
0
0
13 Dec 2024
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph
  Neural Networks
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
Xinfeng Li
Guibin Zhang
Haoran Yang
Dawei Cheng
83
0
0
10 Dec 2024
SuperGCN: General and Scalable Framework for GCN Training on CPU-powered
  Supercomputers
SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers
Chen Zhuang
Peng Chen
Xin Liu
Rio Yokota
Nikoli Dryden
Toshio Endo
Satoshi Matsuoka
M. Wahib
GNN
67
0
0
25 Nov 2024
Graph Neural Networks on Graph Databases
Dmytro Lopushanskyy
Borun Shi
GNN
73
0
0
18 Nov 2024
Efficient Message Passing Architecture for GCN Training on HBM-based
  FPGAs with Orthogonal Topology On-Chip Networks
Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip Networks
Qizhe Wu
Letian Zhao
Yuchen Gui
Huawen Liang Xiaotian Wang
GNN
29
0
0
06 Nov 2024
Sparse Decomposition of Graph Neural Networks
Sparse Decomposition of Graph Neural Networks
Yaochen Hu
Mai Zeng
Ge Zhang
P. Rumiantsev
Liheng Ma
Yingxue Zhang
Mark Coates
32
0
0
25 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks
Focus Where It Matters: Graph Selective State Focused Attention Networks
Shikhar Vashistha
Neetesh Kumar
30
0
0
21 Oct 2024
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
Shengwei Ji
Yujie Tian
Fei Liu
Xinlu Li
Le Wu
GNN
37
0
0
14 Oct 2024
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
Rui Xue
Tong Zhao
Neil Shah
Xiaorui Liu
GNN
37
1
0
07 Oct 2024
ClassContrast: Bridging the Spatial and Contextual Gaps for Node
  Representations
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations
Md Joshem Uddin
Astrit Tola
Varin Sikand
Cüneyt Gürcan Akçora
Baris Coskunuzer
34
1
0
03 Oct 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN
  Training at Large Scale
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale
Zeyu Zhu
Peisong Wang
Qinghao Hu
Gang Li
Xiaoyao Liang
Jian Cheng
GNN
32
1
0
23 Sep 2024
Federated Graph Learning with Adaptive Importance-based Sampling
Federated Graph Learning with Adaptive Importance-based Sampling
Anran Li
Yuanyuan Chen
Chao Ren
Wenhan Wang
Ming Hu
Tianlin Li
Han Yu
Qingyu Chen
FedML
21
0
0
23 Sep 2024
Can Graph Reordering Speed Up Graph Neural Network Training? An
  Experimental Study
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study
Nikolai Merkel
Pierre Toussing
R. Mayer
Hans-Arno Jacobsen
GNN
37
1
0
17 Sep 2024
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric
  Model Migration
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration
Weijian Chen
Shuibing He
Haoyang Qu
Xuechen Zhang
GNN
29
0
0
01 Sep 2024
The Transferability of Downsamped Sparse Graph Convolutional Networks
The Transferability of Downsamped Sparse Graph Convolutional Networks
Qinji Shu
Hang Sheng
Feng Ji
Hui Feng
Bo Hu
BDL
26
0
0
30 Aug 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with
  LLM Token Embeddings
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
Duo Wang
Yuan Zuo
Fengzhi Li
Junjie Wu
28
7
0
25 Aug 2024
Contrastive Representation Learning for Dynamic Link Prediction in
  Temporal Networks
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
Amirhossein Nouranizadeh
Fatemeh Tabatabaei Far
Mohammad Rahmati
AI4TS
32
1
0
22 Aug 2024
GAIM: Attacking Graph Neural Networks via Adversarial Influence
  Maximization
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization
Xiaodong Yang
Xiaoting Li
Huiyuan Chen
Yiwei Cai
AAML
26
0
0
20 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Lu Yi
Zhewei Wei
MU
64
0
0
17 Aug 2024
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph
  Neural Network Training with Communication Reduction
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction
Shuai Zhang
Zite Jiang
Haihang You
GNN
20
1
0
01 Aug 2024
Non-convolutional Graph Neural Networks
Non-convolutional Graph Neural Networks
Yuanqing Wang
N. Scherer-Negenborn
GNN
35
3
0
31 Jul 2024
HC-GST: Heterophily-aware Distribution Consistency based Graph
  Self-training
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training
Fali Wang
Tianxiang Zhao
Junjie Xu
Suhang Wang
32
1
0
25 Jul 2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training
TorchGT: A Holistic System for Large-scale Graph Transformer Training
Mengdie Zhang
Jie Sun
Qi Hu
Peng Sun
Zeke Wang
Yonggang Wen
Tianwei Zhang
GNN
39
2
0
19 Jul 2024
A Theoretical Formulation of Many-body Message Passing Neural Networks
A Theoretical Formulation of Many-body Message Passing Neural Networks
Jiatong Han
25
0
0
16 Jul 2024
Generalizing Graph Transformers Across Diverse Graphs and Tasks via
  Pre-Training on Industrial-Scale Data
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data
Yufei He
Zhenyu Hou
Yukuo Cen
Feng He
Xu Cheng
Bryan Hooi
AI4CE
29
3
0
04 Jul 2024
Foundations and Frontiers of Graph Learning Theory
Foundations and Frontiers of Graph Learning Theory
Yu Huang
Min Zhou
Menglin Yang
Zhen Wang
Muhan Zhang
Jie Wang
Hong Xie
Hao Wang
Defu Lian
Enhong Chen
AI4CE
GNN
55
2
0
03 Jul 2024
Efficient Long-distance Latent Relation-aware Graph Neural Network for
  Multi-modal Emotion Recognition in Conversations
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations
Yuntao Shou
Wei Ai
JiaYi Du
Tao Meng
Haiyan Liu
Nan Yin
53
16
0
27 Jun 2024
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