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A Biased Graph Neural Network Sampler with Near-Optimal Regret
Neural Information Processing Systems (NeurIPS), 2021
1 March 2021
Qingru Zhang
David Wipf
Quan Gan
Le Song
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Papers citing
"A Biased Graph Neural Network Sampler with Near-Optimal Regret"
17 / 17 papers shown
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024
Zeyu Zhu
Peisong Wang
Qinghao Hu
Gang Li
Xiaoyao Liang
Jian Cheng
GNN
232
6
0
23 Sep 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
Renjie Liu
Yichuan Wang
Xiao Yan
Zhenkun Cai
Minjie Wang
Haitian Jiang
Bo Tang
Jinyang Li
GNN
397
13
0
08 May 2024
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
Gangda Deng
Hongkuan Zhou
Hanqing Zeng
Yinglong Xia
Christopher Leung
Jianbo Li
Rajgopal Kannan
Viktor Prasanna
320
3
0
08 Feb 2024
Data-centric Graph Learning: A Survey
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
410
35
0
08 Oct 2023
On Generalized Degree Fairness in Graph Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2023
Zemin Liu
Trung-Kien Nguyen
Yuan Fang
262
40
0
08 Feb 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems
Nikzad Chizari
Niloufar Shoeibi
María N. Moreno-García
205
17
0
18 Jan 2023
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation
Machine Learning and Knowledge Extraction (MLKE), 2023
Haeyong Kang
Chang D. Yoo
497
12
0
01 Jan 2023
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network
Yongbin Li
Bingbing Xu
Qi Cao
Yige Yuan
Huawei Shen
191
0
0
16 Nov 2022
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs
Neural Information Processing Systems (NeurIPS), 2022
M. F. Balin
Ümit V. Çatalyürek
282
32
0
24 Oct 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning
Tiantian He
Haicang Zhou
Yew-Soon Ong
Gao Cong
GNN
367
9
0
14 Oct 2022
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks
Yuchen Gui
Boyi Wei
W. Yuan
Xi Jin
GNN
207
2
0
07 Sep 2022
Rethinking Efficiency and Redundancy in Training Large-scale Graphs
Xin Liu
Xunbin Xiong
Yurui Lai
Runzhen Xue
Shirui Pan
Xiaochun Ye
Xiaochun Ye
303
1
0
02 Sep 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
International Conference on Machine Learning (ICML), 2022
Qingru Zhang
Simiao Zuo
Chen Liang
Alexander Bukharin
Pengcheng He
Weizhu Chen
T. Zhao
261
105
0
25 Jun 2022
Bandit Sampling for Multiplex Networks
Cenk Baykal
Vamsi K. Potluru
Sameena Shah
Manuela Veloso
332
2
0
08 Feb 2022
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks
International Conference on Learning Representations (ICLR), 2021
M. Ramezani
Weilin Cong
Mehrdad Mahdavi
M. Kandemir
A. Sivasubramaniam
GNN
442
35
0
16 Nov 2021
Graph Belief Propagation Networks
Junteng Jia
Cenk Baykal
Vamsi K. Potluru
Austin R. Benson
GNN
284
4
0
06 Jun 2021
Adaptive Universal Generalized PageRank Graph Neural Network
International Conference on Learning Representations (ICLR), 2020
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
1.2K
980
0
14 Jun 2020
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