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Inductive Representation Learning on Large Graphs
v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,533 papers shown
Title
Towards Long-Tailed Recognition for Graph Classification via
  Collaborative Experts
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts
Si-Yu Yi
Zhengyan Mao
Wei Ju
Yong-Dao Zhou
Luchen Liu
Xiao Luo
Ming Zhang
97
7
0
31 Aug 2023
Companion Animal Disease Diagnostics based on Literal-aware Medical
  Knowledge Graph Representation Learning
Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning
Van Thuy Hoang
Sang Thanh Nguyen
Sangmyeong Lee
Jooho Lee
Luong Vuong Nguyen
O-Joun Lee
77
8
0
31 Aug 2023
Domain-adaptive Message Passing Graph Neural Network
Domain-adaptive Message Passing Graph Neural Network
X. Shen
Shirui Pan
K. Choi
Xiaoping Zhou
103
18
0
31 Aug 2023
Contrastive Representation Learning Based on Multiple Node-centered
  Subgraphs
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs
Dong Li
Wenjun Wang
Minglai Shao
Chen Zhao
SSL
77
3
0
31 Aug 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
Zehao Dong
Weidong Cao
Muhan Zhang
Dacheng Tao
Yixin Chen
Xuan Zhang
GNN
85
39
0
31 Aug 2023
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural
  Networks
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
Qian Huang
Jiawei Jiang
Xi Rao
Ce Zhang
Zhichao Han
...
Quanqing Xu
Yang Zhao
Chuang Hu
Shuo Shang
Bo Du
60
8
0
31 Aug 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and
  Applications
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu Wang
Olivera Kotevska
Philip S. Yu
Hanyu Wang
123
13
0
31 Aug 2023
Knowledge-grounded Natural Language Recommendation Explanation
Knowledge-grounded Natural Language Recommendation Explanation
Anthony Colas
Jun Araki
Zhengyu Zhou
Bingqing Wang
Z. Feng
73
7
0
30 Aug 2023
Efficient and Explainable Graph Neural Architecture Search via
  Monte-Carlo Tree Search
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search
Yuya Sasaki
86
0
0
30 Aug 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Haoran Liu
Bokun Wang
Jianling Wang
Xiangjue Dong
Tianbao Yang
James Caverlee
AAML
107
3
0
29 Aug 2023
An Experimental Comparison of Partitioning Strategies for Distributed
  Graph Neural Network Training
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training
Nikolai Merkel
Daniel Stoll
R. Mayer
Hans-Arno Jacobsen
GNN
89
2
0
29 Aug 2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed
  Integer Weighted Networks
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks
Nikolaos Nakis
Abdulkadir Çelikkanat
Morten Mørup
43
0
0
29 Aug 2023
Structural Node Embeddings with Homomorphism Counts
Structural Node Embeddings with Homomorphism Counts
Hinrikus Wolf
Luca Oeljeklaus
Pascal Kuhner
Martin Grohe
81
3
0
29 Aug 2023
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation
Meng Yuan
Fuzhen Zhuang
Zhao Zhang
Deqing Wang
Jin Dong
138
7
0
29 Aug 2023
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
GNNMQ
70
9
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
95
98
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
75
3
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
84
12
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
91
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
85
4
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
87
15
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
59
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
GNNAI4TS
127
20
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
101
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
35
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
61
9
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
75
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
68
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
80
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
95
8
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
73
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
62
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
21
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
118
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
GNNAI4CE
89
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
59
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
73
9
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
GNNAI4TS
89
22
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
111
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
73
12
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
82
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
117
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
99
23
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
75
7
0
17 Aug 2023
Graph Neural Network Backend for Speaker Recognition
Graph Neural Network Backend for Speaker Recognition
Liang He
Rui Li
Mengqi Niu
69
0
0
17 Aug 2023
Independent Distribution Regularization for Private Graph Embedding
Independent Distribution Regularization for Private Graph Embedding
Qie Hu
Yangqiu Song
150
6
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
237
26
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
79
7
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
44
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
42
2
0
16 Aug 2023
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