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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 / 5,534 papers shown
Title
A Survey on Graph Neural Networks and Graph Transformers in Computer
  Vision: A Task-Oriented Perspective
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
Chaoqi Chen
Yushuang Wu
Qiyuan Dai
Hong-Yu Zhou
Mutian Xu
Sibei Yang
Xiaoguang Han
Yizhou Yu
ViTMedImAI4CE
139
82
0
27 Sep 2022
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction
Jiahan Liu
Chao-chao Yan
Yang Yu
Chan Lu
Junzhou Huang
Le Ou-Yang
P. Zhao
82
15
0
27 Sep 2022
Material Prediction for Design Automation Using Graph Representation
  Learning
Material Prediction for Design Automation Using Graph Representation Learning
Shijie Bian
Daniele Grandi
Kaveh Hassani
Elliot Sadler
Bodia Borijin
...
Andrew Wang
Thomas Lu
R. Otis
Nhut Ho
Bingbing Li
AI4CE
84
4
0
26 Sep 2022
A Simple Way to Learn Metrics Between Attributed Graphs
A Simple Way to Learn Metrics Between Attributed Graphs
Yacouba Kaloga
Pierre Borgnat
Amaury Habrard
GNN
69
1
0
26 Sep 2022
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep
  Stage Recognition
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition
Jianchao Lu
Yuzhe Tian
Shuang Wang
Michael Sheng
Xianglin Zheng
GNN
115
7
0
26 Sep 2022
Flattened Graph Convolutional Networks For Recommendation
Flattened Graph Convolutional Networks For Recommendation
Yue Xu
Hao Chen
Zengde Deng
Yuanchen Bei
Feiran Huang
BDLGNN
35
1
0
25 Sep 2022
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual
  Features for Multi-object Scenes
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes
J. Kim
M. Urschler
Patricia J. Riddle
Jörg Simon Wicker
74
7
0
24 Sep 2022
Physics-Informed Graph Neural Network for Spatial-temporal Production
  Forecasting
Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting
Wendi Liu
Michael J. Pyrcz
AI4CE
115
24
0
23 Sep 2022
Multi-Granularity Graph Pooling for Video-based Person Re-Identification
Multi-Granularity Graph Pooling for Video-based Person Re-Identification
Honghu Pan
Yongyong Chen
Zhenyu He
73
33
0
23 Sep 2022
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation
  Embedding
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding
Junfu Wang
Yuanfang Guo
Liang Yang
Yun-an Wang
97
11
0
23 Sep 2022
DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-shot
  Transfer the Dynamic Response of Networked Systems
DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-shot Transfer the Dynamic Response of Networked Systems
Yixuan Sun
Christian Moya
Guang Lin
Meng Yue
GNN
124
9
0
21 Sep 2022
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering
Chen Zheng
Parisa Kordjamshidi
50
6
0
20 Sep 2022
Dynamic Graph Message Passing Networks for Visual Recognition
Dynamic Graph Message Passing Networks for Visual Recognition
Li Zhang
Mohan Chen
Anurag Arnab
Xiangyang Xue
Philip Torr
GNN
83
1
0
20 Sep 2022
Neural Graph Databases
Neural Graph Databases
Maciej Besta
Patrick Iff
Florian Scheidl
Kazuki Osawa
Nikoli Dryden
Michal Podstawski
Tiancheng Chen
Torsten Hoefler
AI4CE
96
9
0
20 Sep 2022
Revisiting Embeddings for Graph Neural Networks
Revisiting Embeddings for Graph Neural Networks
S. Purchase
A. Zhao
Robert D. Mullins
74
3
0
19 Sep 2022
Interpreting the Mechanism of Synergism for Drug Combinations Using
  Attention-Based Hierarchical Graph Pooling
Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling
Zehao Dong
Heming Zhang
Yixin Chen
Philip R. O. Payne
Fuhai Li
GNN
131
16
0
19 Sep 2022
Generative Graphical Inverse Kinematics
Generative Graphical Inverse Kinematics
Oliver Limoyo
Filip Marić
Matthew Giamou
Petra Alexson
Ivan Petrović
Jonathan Kelly
144
2
0
19 Sep 2022
Imbalanced Node Processing Method in Graph Neural Network Classification Task
Min Liu
Siwen Jin
Luo Jin
Shuohan Wang
Yu Fang
Yuliang Shi
68
0
0
18 Sep 2022
Evolution of a Web-Scale Near Duplicate Image Detection System
Evolution of a Web-Scale Near Duplicate Image Detection System
Andrey Gusev
Jiajing Xu
71
4
0
18 Sep 2022
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach
Wendong Bi
Lun Du
Qiang Fu
Yanlin Wang
Shi Han
Dongmei Zhang
82
27
0
17 Sep 2022
Flashlight: Scalable Link Prediction with Effective Decoders
Flashlight: Scalable Link Prediction with Effective Decoders
Yiwei Wang
Bryan Hooi
Yozen Liu
Tong Zhao
Zhichun Guo
Neil Shah
BDL
125
6
0
17 Sep 2022
Cell Attention Networks
Cell Attention Networks
Lorenzo Giusti
Claudio Battiloro
Lucia Testa
P. Lorenzo
S. Sardellitti
Sergio Barbarossa
3DPCGNN
394
36
0
16 Sep 2022
SPGP: Structure Prototype Guided Graph Pooling
SPGP: Structure Prototype Guided Graph Pooling
Sangseon Lee
Dohoon Lee
Yinhua Piao
Sun Kim
62
1
0
16 Sep 2022
Model Inversion Attacks against Graph Neural Networks
Model Inversion Attacks against Graph Neural Networks
Zaixin Zhang
Qi Liu
Zhenya Huang
Hao Wang
Cheekong Lee
Enhong
AAML
83
37
0
16 Sep 2022
On the Robustness of Graph Neural Diffusion to Topology Perturbations
On the Robustness of Graph Neural Diffusion to Topology Perturbations
Yang Song
Qiyu Kang
Sijie Wang
Zhao Kai
Wee Peng Tay
DiffMAAML
112
37
0
16 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction
Graph Contrastive Learning with Cross-view Reconstruction
Qianlong Wen
Z. Ouyang
Chunhui Zhang
Yiyue Qian
Yanfang Ye
Chuxu Zhang
SSL
91
6
0
16 Sep 2022
Hub-aware Random Walk Graph Embedding Methods for Classification
Hub-aware Random Walk Graph Embedding Methods for Classification
Aleksandar Tomcic
Miloš Savić
Miloš Radovanović
70
3
0
15 Sep 2022
MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems
MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems
Jieyang Chen
Chenhao Xie
J. Firoz
Jiajia Li
Shuaiwen Leon Song
Kevin J. Barker
Mark Raugas
Ang Li
66
3
0
15 Sep 2022
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks
Simiao Zuo
Haoming Jiang
Qingyu Yin
Xianfeng Tang
Bing Yin
Tuo Zhao
58
0
0
15 Sep 2022
VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision
  Graph Neural Network
VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision Graph Neural Network
Zhenpeng Feng
Xiyang Cui
Hongbing Ji
Mingzhe Zhu
Ljubisa Stankovic
76
11
0
15 Sep 2022
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for
  Graph Neural Networks
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks
Xiaoqi Wang
Hang Shen
94
45
0
15 Sep 2022
Earthquake Phase Association with Graph Neural Networks
Earthquake Phase Association with Graph Neural Networks
I. McBrearty
G. Beroza
66
43
0
15 Sep 2022
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel
  Communication-Computation Pipelining on Multi-GPU Platforms
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms
Yuke Wang
Boyuan Feng
Zheng Wang
Tong Geng
Kevin J. Barker
Ang Li
Yufei Ding
GNN
123
29
0
14 Sep 2022
Predicting Drug-Drug Interactions using Deep Generative Models on Graphs
Predicting Drug-Drug Interactions using Deep Generative Models on Graphs
Nhat-Khang Ngô
Truong-Son Hy
Risi Kondor
BDLGNN
79
4
0
14 Sep 2022
Towards Better Generalization with Flexible Representation of
  Multi-Module Graph Neural Networks
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks
Hyungeun Lee
Kijung Yoon
AI4CE
85
2
0
14 Sep 2022
Graph Contrastive Learning with Personalized Augmentation
Graph Contrastive Learning with Personalized Augmentation
Xinyu Zhang
Qiaoyu Tan
Xiao Shi Huang
Yue Liu
102
18
0
14 Sep 2022
Scalable Spatiotemporal Graph Neural Networks
Scalable Spatiotemporal Graph Neural Networks
Andrea Cini
Ivan Marisca
F. Bianchi
Cesare Alippi
AI4TSAI4CE
101
57
0
14 Sep 2022
Characterizing Graph Datasets for Node Classification:
  Homophily-Heterophily Dichotomy and Beyond
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
Oleg Platonov
Denis Kuznedelev
Artem Babenko
Liudmila Prokhorenkova
152
45
0
13 Sep 2022
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph
  Neural Networks
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks
Hussain Hussain
Meng Cao
Sandipan Sikdar
D. Helic
Elisabeth Lex
M. Strohmaier
Roman Kern
109
14
0
13 Sep 2022
Leveraging Large (Visual) Language Models for Robot 3D Scene
  Understanding
Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding
William Chen
Siyi Hu
Rajat Talak
Luca Carlone
LM&Ro
52
0
0
12 Sep 2022
Graph Neural Networks for Molecules
Graph Neural Networks for Molecules
Yuyang Wang
Zijie Li
A. Farimani
GNNAI4CE
175
29
0
12 Sep 2022
Graph Neural Modeling of Network Flows
Graph Neural Modeling of Network Flows
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
GNN
57
4
0
12 Sep 2022
A Molecular Multimodal Foundation Model Associating Molecule Graphs with
  Natural Language
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Fuchun Sun
Dazhao Du
Zhao-Qing Yang
Yujie Zhou
Jiangmeng Li
Anyi Rao
Haoran Sun
Zhiwu Lu
Ji-Rong Wen
150
115
0
12 Sep 2022
Towards Sparsification of Graph Neural Networks
Towards Sparsification of Graph Neural Networks
Hongwu Peng
Deniz Gurevin
Shaoyi Huang
Tong Geng
Weiwen Jiang
O. Khan
Caiwen Ding
GNN
103
24
0
11 Sep 2022
Self-supervised Learning for Heterogeneous Graph via Structure
  Information based on Metapath
Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath
Shuai Ma
Jian-wei Liu
Xin Zuo
SSL
76
6
0
09 Sep 2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness
Analyzing the Effect of Sampling in GNNs on Individual Fairness
Rebecca Salganik
Fernando Diaz
G. Farnadi
74
1
0
08 Sep 2022
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition
  Prediction Model
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model
Shilin Pu
Liang Chu
Zhuoran Hou
Jincheng Hu
Yanjun Huang
Yuanjian Zhang
262
0
0
08 Sep 2022
Multimodal learning with graphs
Multimodal learning with graphs
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
153
93
0
07 Sep 2022
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters
Sung Moon Ko
Sungjun Cho
Dae-Woong Jeong
Sehui Han
Moontae Lee
Ho Hin Lee
73
10
0
07 Sep 2022
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate
  Graph Neural Networks
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks
Yuchen Gui
Boyi Wei
W. Yuan
Xi Jin
GNN
77
1
0
07 Sep 2022
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