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Inductive Representation Learning on Large Graphs

Inductive Representation Learning on Large Graphs

7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXivPDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,697 papers shown
Title
Low-bit Quantization for Deep Graph Neural Networks with
  Smoothness-aware Message Propagation
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation
Shuang Wang
B. Eravcı
Rustam Guliyev
Hakan Ferhatosmanoglu
GNN
MQ
43
7
0
29 Aug 2023
Graph-based Asynchronous Event Processing for Rapid Object Recognition
Graph-based Asynchronous Event Processing for Rapid Object Recognition
Yijin Li
Han Zhou
Bangbang Yang
Yexin Zhang
Zhaopeng Cui
Hujun Bao
Guofeng Zhang
46
95
0
28 Aug 2023
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for
  Multi-Label Image Recognition
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Ruijie Yao
Sheng Jin
Lumin Xu
Wang Zeng
Wentao Liu
Chao Qian
Ping Luo
Ji Wu
35
2
0
28 Aug 2023
Class-Imbalanced Graph Learning without Class Rebalancing
Class-Imbalanced Graph Learning without Class Rebalancing
Zhining Liu
Ruizhong Qiu
Zhichen Zeng
Hyunsik Yoo
David Zhou
Zhe Xu
Yada Zhu
Kommy Weldemariam
Jingrui He
Hanghang Tong
AI4CE
44
10
0
27 Aug 2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal
  Interaction Graph Embedding
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding
Xiangshan Chen
Yongxiang Liao
Yun Xiong
Yao Zhang
Si-Yuan Zhang
Jiawei Zhang
Yiheng Sun
44
6
0
27 Aug 2023
Universal Graph Continual Learning
Universal Graph Continual Learning
Thanh Duc Hoang
Do Viet Tung
Duy-Hung Nguyen
Bao-Sinh Nguyen
Huy Hoang Nguyen
Hung Le
CLL
35
3
0
27 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
34
14
0
26 Aug 2023
Collaborative Information Dissemination with Graph-based Multi-Agent
  Reinforcement Learning
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning
Raffaele Galliera
Kristen Brent Venable
Matteo Bassani
N. Suri
29
1
0
25 Aug 2023
TpuGraphs: A Performance Prediction Dataset on Large Tensor
  Computational Graphs
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
P. Phothilimthana
Sami Abu-El-Haija
Kaidi Cao
Bahare Fatemi
Mike Burrows
Charith Mendis
Bryan Perozzi
GNN
AI4TS
55
17
0
25 Aug 2023
Staleness-Alleviated Distributed GNN Training via Online
  Dynamic-Embedding Prediction
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction
Guangji Bai
Ziyang Yu
Zheng Chai
Yue Cheng
Liang Zhao
GNN
48
3
0
25 Aug 2023
The intersection of video capsule endoscopy and artificial intelligence:
  addressing unique challenges using machine learning
The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning
S. Guleria
B. Schwartz
Yash Sharma
Philip Fernandez
James A. Jablonski
...
Dylan M. Hyatt
Andrew Copland
L. Ehsan
Donald E. Brown
Sana Syed
23
1
0
24 Aug 2023
A Survey of Graph Unlearning
A Survey of Graph Unlearning
Anwar Said
Hanyu Wang
Mudassir Shabbir
W. Abbas
X. Koutsoukos
MU
35
7
0
23 Aug 2023
Cached Operator Reordering: A Unified View for Fast GNN Training
Cached Operator Reordering: A Unified View for Fast GNN Training
Julia Bazinska
Andrei Ivanov
Tal Ben-Nun
Nikoli Dryden
Maciej Besta
Siyuan Shen
Torsten Hoefler
GNN
45
3
0
23 Aug 2023
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution
  Networks
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks
Xiaoru Xie
Hongwu Peng
Amit Hasan
Shaoyi Huang
Jiahui Zhao
Haowen Fang
Wei Zhang
Tong Geng
O. Khan
Caiwen Ding
GNN
43
31
0
22 Aug 2023
LCCo: Lending CLIP to Co-Segmentation
LCCo: Lending CLIP to Co-Segmentation
Xin Duan
Yan Yang
Liyuan Pan
Xiabi Liu
VLM
49
1
0
22 Aug 2023
Enhancing Graph Transformers with Hierarchical Distance Structural
  Encoding
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
Yuan Luo
Hongkang Li
Lei Shi
Xiao-Ming Wu
40
7
0
22 Aug 2023
Topological Graph Signal Compression
Topological Graph Signal Compression
Guillermo Bernárdez
Lev Telyatnikov
Eduard Alarcón
A. Cabellos-Aparicio
Pere Barlet-Ros
Pietro Lio
AI4CE
34
0
0
21 Aug 2023
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection
Hwan Kim
Junghoon Kim
Byung Suk Lee
Sungsu Lim
37
0
0
21 Aug 2023
DySuse: Susceptibility Estimation in Dynamic Social Networks
DySuse: Susceptibility Estimation in Dynamic Social Networks
Yingdan Shi
Jingya Zhou
Congcong Zhang
19
1
0
21 Aug 2023
Geometric instability of graph neural networks on large graphs
Geometric instability of graph neural networks on large graphs
Emily L Morris
Haotian Shen
Weiling Du
Muhammad Hamza Sajjad
Borun Shi
GNN
58
0
0
19 Aug 2023
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism
Jingji Chen
Zhuoming Chen
Xuehai Qian
GNN
AI4CE
42
3
0
19 Aug 2023
Contrastive Learning for Non-Local Graphs with Multi-Resolution
  Structural Views
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views
Asif Khan
Amos Storkey
32
1
0
19 Aug 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive
  field
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field
Kun Wang
Guohao Li
Shilong Wang
Guibin Zhang
Kaidi Wang
Yang You
Xiaojiang Peng
Yuxuan Liang
Yang Wang
47
8
0
19 Aug 2023
Explicit Time Embedding Based Cascade Attention Network for Information
  Popularity Prediction
Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction
Xigang Sun
Jingya Zhou
Ling Liu
Wenqi Wei
GNN
AI4TS
46
21
0
19 Aug 2023
Investigating the Interplay between Features and Structures in Graph
  Learning
Investigating the Interplay between Features and Structures in Graph Learning
Daniele Castellana
Federico Errica
48
4
0
18 Aug 2023
Transitivity-Preserving Graph Representation Learning for Bridging Local
  Connectivity and Role-based Similarity
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity
Van Thuy Hoang
O-Joun Lee
45
11
0
18 Aug 2023
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
Wendong Bi
Xueqi Cheng
Bingbing Xu
Xiaoqian Sun
Li Xu
Huawei Shen
52
10
0
18 Aug 2023
FRGNN: Mitigating the Impact of Distribution Shift on Graph Neural
  Networks via Test-Time Feature Reconstruction
FRGNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction
Ruitian Ding
Jielong Yang
Feng Ji
Xionghu Zhong
Linbo Xie
53
1
0
18 Aug 2023
Half-Hop: A graph upsampling approach for slowing down message passing
Half-Hop: A graph upsampling approach for slowing down message passing
Mehdi Azabou
Venkataraman Ganesh
S. Thakoor
Chi-Heng Lin
Lakshmi Sathidevi
Ran Liu
Michal Valko
Petar Velickovic
Eva L. Dyer
57
21
0
17 Aug 2023
Modeling Edge Features with Deep Bayesian Graph Networks
Modeling Edge Features with Deep Bayesian Graph Networks
Daniele Atzeni
Federico Errica
D. Bacciu
Alessio Micheli
26
6
0
17 Aug 2023
Graph Neural Network Backend for Speaker Recognition
Graph Neural Network Backend for Speaker Recognition
Liang He
Rui Li
Mengqi Niu
45
0
0
17 Aug 2023
Independent Distribution Regularization for Private Graph Embedding
Independent Distribution Regularization for Private Graph Embedding
Qie Hu
Yangqiu Song
54
4
0
16 Aug 2023
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
55
22
0
16 Aug 2023
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting
Tianyu Fu
Chiyue Wei
Yu Wang
Rex Ying
GNN
41
6
0
16 Aug 2023
Accelerating Generic Graph Neural Networks via Architecture, Compiler,
  Partition Method Co-Design
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design
Shuwen Lu
Zhihui Zhang
Cong Guo
Jingwen Leng
Yangjie Zhou
Minyi Guo
GNN
22
1
0
16 Aug 2023
S-Mixup: Structural Mixup for Graph Neural Networks
S-Mixup: Structural Mixup for Graph Neural Networks
Jung-Hyun Kim
Sukwon Yun
Chanyoung Park
32
2
0
16 Aug 2023
Decentralized Graph Neural Network for Privacy-Preserving Recommendation
Decentralized Graph Neural Network for Privacy-Preserving Recommendation
Xiaolin Zheng
Zhongyu Wang
Chaochao Chen
Jiashu Qian
Yao Yang
FedML
41
8
0
15 Aug 2023
Towards Temporal Edge Regression: A Case Study on Agriculture Trade
  Between Nations
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations
Lekang Jiang
Caiqi Zhang
Farimah Poursafaei
Shenyang Huang
67
2
0
15 Aug 2023
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective
Guanghui Zhu
Meng Chen
Chun Yuan
Jiaming Ji
AAML
38
6
0
15 Aug 2023
Multi-scale Promoted Self-adjusting Correlation Learning for Facial
  Action Unit Detection
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
Xin Liu
Kaishen Yuan
Xuesong Niu
Jingang Shi
Zitong Yu
Huanjing Yue
Jingyu Yang
32
9
0
15 Aug 2023
Graph-Segmenter: Graph Transformer with Boundary-aware Attention for
  Semantic Segmentation
Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation
Zizhang Wu
Yuanzhu Gan
Tianhao Xu
Fan Wang
ViT
43
8
0
15 Aug 2023
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot
  Node Classification
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
Likang Wu
Junji Jiang
Hongke Zhao
Hao Wang
Defu Lian
Mengdi Zhang
Enhong Chen
29
4
0
15 Aug 2023
MM-GEF: Multi-modal representation meet collaborative filtering
MM-GEF: Multi-modal representation meet collaborative filtering
Hao Wu
Alejandro Ariza-Casabona
Bartlomiej Twardowski
Tri Kurniawan Wijaya
22
1
0
14 Aug 2023
Language is All a Graph Needs
Language is All a Graph Needs
Ruosong Ye
Caiqi Zhang
Runhui Wang
Shuyuan Xu
Yongfeng Zhang
AI4CE
81
155
0
14 Aug 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level
  Tasks
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks
Zhili Wang
Shimin Di
Lei Chen
Xiaofang Zhou
67
9
0
14 Aug 2023
Effect of Choosing Loss Function when Using T-batching for
  Representation Learning on Dynamic Networks
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks
Erfan Loghmani
MohammadAmin Fazli
24
4
0
13 Aug 2023
SAILOR: Structural Augmentation Based Tail Node Representation Learning
SAILOR: Structural Augmentation Based Tail Node Representation Learning
Jie Liao
Jintang Li
Liang Chen
Bing Wu
Yatao Bian
Zibin Zheng
38
4
0
13 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes
Learning on Graphs with Out-of-Distribution Nodes
Yunho Song
Donglin Wang
OODD
30
40
0
13 Aug 2023
Node Embedding for Homophilous Graphs with ARGEW: Augmentation of Random
  walks by Graph Edge Weights
Node Embedding for Homophilous Graphs with ARGEW: Augmentation of Random walks by Graph Edge Weights
J. Kim
Jaeman Son
Hyunsoo Kim
Eunjo Lee
11
0
0
11 Aug 2023
$\mathcal{G}^2Pxy$: Generative Open-Set Node Classification on Graphs
  with Proxy Unknowns
G2Pxy\mathcal{G}^2PxyG2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
Qin Zhang
Zelin Shi
Xiaolin Zhang
Xiaojun Chen
Philippe Fournier-Viger
Shirui Pan
25
10
0
10 Aug 2023
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