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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 / 2,121 papers shown
Title
Self-Supervised Graph Transformer on Large-Scale Molecular Data
Self-Supervised Graph Transformer on Large-Scale Molecular Data
Yu Rong
Yatao Bian
Tingyang Xu
Wei-yang Xie
Ying Wei
Wenbing Huang
Junzhou Huang
AI4CE
21
25
0
18 Jun 2020
Sequential Graph Convolutional Network for Active Learning
Sequential Graph Convolutional Network for Active Learning
Razvan Caramalau
Binod Bhattarai
Tae-Kyun Kim
GNN
27
118
0
18 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J. Qiu
Qibin Chen
Yuxiao Dong
Jing Zhang
Hongxia Yang
Ming Ding
Kuansan Wang
Jie Tang
SSL
64
932
0
17 Jun 2020
Multipole Graph Neural Operator for Parametric Partial Differential
  Equations
Multipole Graph Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
24
376
0
16 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism
  Counting
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Giorgos Bouritsas
Fabrizio Frasca
S. Zafeiriou
M. Bronstein
58
424
0
16 Jun 2020
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding
  Time-resolved EEG Motor Imagery Signals
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals
Yimin Hou
Shuyue Jia
Xiangmin Lun
Hanrui Yang
Yan Shi
Yong Li
Shu Zhang
Jinglei Lv
10
114
0
16 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for
  Meta-Learning
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
Sungyong Seo
Chuizheng Meng
Sirisha Rambhatla
Yan Liu
AI4CE
18
11
0
15 Jun 2020
Optimization and Generalization Analysis of Transduction through
  Gradient Boosting and Application to Multi-scale Graph Neural Networks
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
Kenta Oono
Taiji Suzuki
AI4CE
37
31
0
15 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
50
1,586
0
15 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang
Marinka Zitnik
AAML
27
291
0
15 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
34
713
0
14 Jun 2020
Graph Meta Learning via Local Subgraphs
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
42
161
0
14 Jun 2020
Global Attention Improves Graph Networks Generalization
Global Attention Improves Graph Networks Generalization
Omri Puny
Heli Ben-Hamu
Y. Lipman
27
22
0
14 Jun 2020
Inductive Graph Neural Networks for Spatiotemporal Kriging
Inductive Graph Neural Networks for Spatiotemporal Kriging
Yuankai Wu
Dingyi Zhuang
A. Labbe
Lijun Sun
AI4CE
25
144
0
13 Jun 2020
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with
  Multi-Feature Learning
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
Xinshuo Weng
Yongxin Wang
Yunze Man
Kris Kitani
3DPC
VOT
45
215
0
12 Jun 2020
Understanding and Resolving Performance Degradation in Graph
  Convolutional Networks
Understanding and Resolving Performance Degradation in Graph Convolutional Networks
Kuangqi Zhou
Yanfei Dong
Kaixin Wang
W. Lee
Bryan Hooi
Huan Xu
Jiashi Feng
GNN
BDL
42
89
0
12 Jun 2020
A benchmark study on reliable molecular supervised learning via Bayesian
  learning
A benchmark study on reliable molecular supervised learning via Bayesian learning
Doyeong Hwang
Grace Lee
Hanseok Jo
Seyoul Yoon
Seongok Ryu
30
9
0
12 Jun 2020
Towards Deeper Graph Neural Networks with Differentiable Group
  Normalization
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
Kaixiong Zhou
Xiao Huang
Yuening Li
Daochen Zha
Rui Chen
Xia Hu
33
198
0
12 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural
  Architecture Search?
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Shen Yan
Yu Zheng
Wei Ao
Xiao Zeng
Mi Zhang
SSL
AI4CE
30
99
0
12 Jun 2020
Data Augmentation for Graph Neural Networks
Data Augmentation for Graph Neural Networks
Tong Zhao
Yozen Liu
Leonardo Neves
Oliver J. Woodford
Meng Jiang
Neil Shah
GNN
30
407
0
11 Jun 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph
  Link Prediction
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
Jinheon Baek
Dong Bok Lee
Sung Ju Hwang
19
87
0
11 Jun 2020
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN
  Acceleration on GPUs
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs
Yuke Wang
Boyuan Feng
Gushu Li
Shuangchen Li
Lei Deng
Yuan Xie
Yufei Ding
GNN
21
121
0
11 Jun 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning
  of Computational Physics Data using Unstructured Spatial Discretizations
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations
John Tencer
Kevin Potter
AI4CE
18
13
0
11 Jun 2020
Bandit Samplers for Training Graph Neural Networks
Bandit Samplers for Training Graph Neural Networks
Ziqi Liu
Zhengwei Wu
Qing Cui
Jun Zhou
Shuang Yang
Le Song
Yuan Qi
37
47
0
10 Jun 2020
Node Embeddings and Exact Low-Rank Representations of Complex Networks
Node Embeddings and Exact Low-Rank Representations of Complex Networks
Sudhanshu Chanpuriya
Cameron Musco
Konstantinos Sotiropoulos
Charalampos E. Tsourakakis
BDL
27
33
0
10 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
31
1,275
0
10 Jun 2020
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
Shangqing Liu
Yu Chen
Xiaofei Xie
J. Siow
Yang Liu
23
163
0
09 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
27
294
0
09 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical
  Implications
On the Bottleneck of Graph Neural Networks and its Practical Implications
Uri Alon
Eran Yahav
GNN
46
662
0
09 Jun 2020
Nonlinear Higher-Order Label Spreading
Nonlinear Higher-Order Label Spreading
Francesco Tudisco
Austin R. Benson
Konstantin Prokopchik
36
32
0
08 Jun 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Thomas Schnake
Oliver Eberle
Jonas Lederer
Shinichi Nakajima
Kristof T. Schütt
Klaus-Robert Muller
G. Montavon
34
217
0
05 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Haonan Yuan
Jiliang Tang
Xia Hu
Shuiwang Ji
34
389
0
03 Jun 2020
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link
  Prediction
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction
Hongxu Chen
Hongzhi Yin
Xiangguo Sun
Tong Chen
Bogdan Gabrys
Katarzyna Musial
15
137
0
02 Jun 2020
Understanding the Message Passing in Graph Neural Networks via Power
  Iteration Clustering
Understanding the Message Passing in Graph Neural Networks via Power Iteration Clustering
Xue Li
Yuanzhi Cheng
GNN
15
9
0
30 May 2020
Non-Local Graph Neural Networks
Non-Local Graph Neural Networks
Meng Liu
Zhengyang Wang
Shuiwang Ji
24
162
0
29 May 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Yaming Yang
Ziyu Guan
Jianxin Li
Wei Zhao
Jiangtao Cui
Quan Wang
GNN
24
171
0
27 May 2020
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path
  Prediction
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction
Matías Mendieta
Hamed Tabkhi
22
17
0
26 May 2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph
  Convolutional Network Approach
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
Le Wu
Yonghui Yang
Kun Zhang
Richang Hong
Yanjie Fu
Meng Wang
GNN
11
101
0
25 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Wenzheng Feng
Jie Zhang
Yuxiao Dong
Yu Han
Huanbo Luan
Qian Xu
Qiang Yang
Evgeny Kharlamov
Jie Tang
26
387
0
22 May 2020
Customized Graph Neural Networks
Customized Graph Neural Networks
Yiqi Wang
Yao Ma
Wei Jin
Chaozhuo Li
Charu C. Aggarwal
Jiliang Tang
40
2
0
22 May 2020
Visual Relationship Detection using Scene Graphs: A Survey
Visual Relationship Detection using Scene Graphs: A Survey
Aniket Agarwal
Ayush Mangal
Vipul
GNN
25
20
0
16 May 2020
Graph Partitioning and Graph Neural Network based Hierarchical Graph
  Matching for Graph Similarity Computation
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation
Haoyan Xu
Ziheng Duan
Jie Feng
Runjian Chen
Yida Huang
Zhongbin Xu
Yueyang Wang
27
34
0
16 May 2020
How hard is to distinguish graphs with graph neural networks?
How hard is to distinguish graphs with graph neural networks?
Andreas Loukas
GNN
25
6
0
13 May 2020
Isometric Transformation Invariant and Equivariant Graph Convolutional
  Networks
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
Masanobu Horie
Naoki Morita
Toshiaki Hishinuma
Yushi Ihara
Naoto Mitsume
GNN
8
23
0
13 May 2020
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity
  Interactions
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
Hanchen Wang
Defu Lian
Ying Zhang
Lu Qin
Xuemin Lin
GNN
29
81
0
12 May 2020
Ring Reservoir Neural Networks for Graphs
Ring Reservoir Neural Networks for Graphs
Claudio Gallicchio
Alessio Micheli
GNN
21
12
0
11 May 2020
Geometric graphs from data to aid classification tasks with graph
  convolutional networks
Geometric graphs from data to aid classification tasks with graph convolutional networks
Yifan Qian
P. Expert
P. Panzarasa
Mauricio Barahona
GNN
25
9
0
08 May 2020
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node
  Features on Biological Networks
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networks
Ramin Hasibi
T. Michoel
AI4CE
23
1
0
08 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
22
285
0
07 May 2020
Reducing Communication in Graph Neural Network Training
Reducing Communication in Graph Neural Network Training
Alok Tripathy
Katherine Yelick
A. Buluç
GNN
30
104
0
07 May 2020
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