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Representation Learning on Graphs with Jumping Knowledge Networks
v1v2 (latest)

Representation Learning on Graphs with Jumping Knowledge Networks

9 June 2018
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
    GNN
ArXiv (abs)PDFHTML

Papers citing "Representation Learning on Graphs with Jumping Knowledge Networks"

50 / 933 papers shown
Title
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task
  Generalization
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Mingxuan Ju
Tong Zhao
Qianlong Wen
Wenhao Yu
Neil Shah
Yanfang Ye
Chuxu Zhang
SSL
78
37
0
05 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network
Towards Prototype-Based Self-Explainable Graph Neural Network
Enyan Dai
Suhang Wang
73
13
0
05 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric
  Polynomials
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials
Xun Liu
Alex Hay-Man Ng
Fangyu Lei
Yikuan Zhang
Zhengmin Li
GNN
109
2
0
30 Sep 2022
How Powerful is Implicit Denoising in Graph Neural Networks
How Powerful is Implicit Denoising in Graph Neural Networks
Songtao Liu
Rex Ying
Hanze Dong
Lu Lin
Jinghui Chen
Di Wu
GNNAI4CE
91
3
0
29 Sep 2022
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
137
80
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
77
4
0
26 Sep 2022
From Local to Global: Spectral-Inspired Graph Neural Networks
From Local to Global: Spectral-Inspired Graph Neural Networks
Ningyuan Huang
Soledad Villar
Carey E. Priebe
Da Zheng
Cheng-Fu Huang
Lin F. Yang
Vladimir Braverman
93
15
0
24 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
A Temporal Graphlet Kernel for Classifying Dissemination in Evolving
  Networks
A Temporal Graphlet Kernel for Classifying Dissemination in Evolving Networks
Lutz Oettershagen
Nils M. Kriege
Claudeth Jordan
Petra Mutzel
18
1
0
12 Sep 2022
Multimodal learning with graphs
Multimodal learning with graphs
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
143
92
0
07 Sep 2022
Toward Robust Graph Semi-Supervised Learning against Extreme Data
  Scarcity
Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity
Kaize Ding
E. Nouri
Guoqing Zheng
Huan Liu
Ryen W. White
96
10
0
26 Aug 2022
GraTO: Graph Neural Network Framework Tackling Over-smoothing with
  Neural Architecture Search
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search
Xinshun Feng
Herun Wan
Shangbin Feng
Hongrui Wang
Jun Zhou
Qinghua Zheng
Minnan Luo
71
6
0
18 Aug 2022
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood
  Feature Distribution
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
Wendong Bi
Lun Du
Qiang Fu
Yanlin Wang
Shi Han
Dongmei Zhang
GNN
43
19
0
15 Aug 2022
Rethinking Graph Neural Networks for the Graph Coloring Problem
Rethinking Graph Neural Networks for the Graph Coloring Problem
Wei Li
Ruxuan Li
Yuzhe Ma
S. Chan
Yao Lai
Bei Yu
47
15
0
15 Aug 2022
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric
  Graph Model
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model
Yirui Liu
Xinghao Qiao
Liying Wang
Jessica Lam
BDL
88
3
0
12 Aug 2022
Motif-based Graph Representation Learning with Application to Chemical
  Molecules
Motif-based Graph Representation Learning with Application to Chemical Molecules
Yifei Wang
Shiyang Chen
Guobin Chen
Ethan Shurberg
Hang Liu
Pengyu Hong
GNN
62
14
0
09 Aug 2022
Oversquashing in GNNs through the lens of information contraction and
  graph expansion
Oversquashing in GNNs through the lens of information contraction and graph expansion
P. Banerjee
Kedar Karhadkar
Yu Guang Wang
Uri Alon
Guido Montúfar
56
46
0
06 Aug 2022
Robust Graph Neural Networks using Weighted Graph Laplacian
Robust Graph Neural Networks using Weighted Graph Laplacian
Bharat Runwal
Vivek
Sandeep Kumar
AAMLOOD
50
5
0
03 Aug 2022
Physical Pooling Functions in Graph Neural Networks for Molecular
  Property Prediction
Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction
Artur M. Schweidtmann
Jan G. Rittig
Jana M. Weber
Martin Grohe
Manuel Dahmen
K. Leonhard
Alexander Mitsos
50
27
0
27 Jul 2022
Label-Only Membership Inference Attack against Node-Level Graph Neural
  Networks
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks
Mauro Conti
Jiaxin Li
S. Picek
Jing Xu
AAML
145
25
0
27 Jul 2022
GNN Transformation Framework for Improving Efficiency and Scalability
GNN Transformation Framework for Improving Efficiency and Scalability
Seiji Maekawa
Yuya Sasaki
G. Fletcher
Makoto Onizuka
GNN
51
1
0
25 Jul 2022
Detecting Small Query Graphs in A Large Graph via Neural Subgraph Search
Detecting Small Query Graphs in A Large Graph via Neural Subgraph Search
Yunsheng Bai
Derek Xu
Yizhou Sun
Wei Wang
GNN
50
0
0
21 Jul 2022
pathGCN: Learning General Graph Spatial Operators from Paths
pathGCN: Learning General Graph Spatial Operators from Paths
Moshe Eliasof
E. Haber
Eran Treister
3DPCGNN
65
28
0
15 Jul 2022
Spatiotemporal Propagation Learning for Network-Wide Flight Delay
  Prediction
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction
Yuankai Wu
Hongyu Yang
Yi Lin
Hong Liu
AI4TS
51
17
0
14 Jul 2022
Reinforced Path Reasoning for Counterfactual Explainable Recommendation
Reinforced Path Reasoning for Counterfactual Explainable Recommendation
Xiang-jian Wang
Qian Li
Dianer Yu
Guandong Xu
CMLLRM
75
16
0
14 Jul 2022
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by
  Graph Neural Architecture Search
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search
Xu Wang
Huan Zhao
Lanning Wei
Quanming Yao
AI4CEGNN
58
3
0
13 Jul 2022
The Neural-Prediction based Acceleration Algorithm of Column Generation
  for Graph-Based Set Covering Problems
The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems
Haofeng Yuan
Peng Jiang
Shiji Song
82
6
0
04 Jul 2022
A Graph Isomorphism Network with Weighted Multiple Aggregators for
  Speech Emotion Recognition
A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition
Ying Hu
Yu Tang
Hao-Ming Huang
Liang He
65
5
0
03 Jul 2022
Transforming PageRank into an Infinite-Depth Graph Neural Network
Transforming PageRank into an Infinite-Depth Graph Neural Network
Andreas Roth
Thomas Liebig
GNN
80
14
0
01 Jul 2022
Modeling Teams Performance Using Deep Representational Learning on
  Graphs
Modeling Teams Performance Using Deep Representational Learning on Graphs
Francesco Carli
Pietro Foini
N. Gozzi
N. Perra
Rossano Schifanella
GNN
40
0
0
29 Jun 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion
Optimization-Induced Graph Implicit Nonlinear Diffusion
Qi Chen
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
DiffM
127
32
0
29 Jun 2022
Deformable Graph Transformer
Deformable Graph Transformer
Jinyoung Park
Seongjun Yun
Hyeon-ju Park
Jaewoo Kang
Jisu Jeong
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
134
7
0
29 Jun 2022
Task-Adaptive Few-shot Node Classification
Task-Adaptive Few-shot Node Classification
Song Wang
Kaize Ding
Chuxu Zhang
Chen Chen
Jundong Li
OffRL
98
51
0
23 Jun 2022
Ordered Subgraph Aggregation Networks
Ordered Subgraph Aggregation Networks
Chao Qian
Gaurav Rattan
Floris Geerts
Christopher Morris
Mathias Niepert
125
58
0
22 Jun 2022
Propagation with Adaptive Mask then Training for Node Classification on
  Attributed Networks
Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks
Jinsong Chen
Boyu Li
Qiuting He
Kun He
73
0
0
21 Jun 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
Yi Qin
Ziwei Zhang
Xin Eric Wang
Zeyang Zhang
Wenwu Zhu
92
28
0
18 Jun 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node
  Classification with GNNs
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
Seiji Maekawa
Koki Noda
Yuya Sasaki
Makoto Onizuka
95
21
0
18 Jun 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation
  Learning
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
Wentao Zhang
Zeang Sheng
Mingyu Yang
Yang Li
Yu Shen
Zhi-Xin Yang
Tengjiao Wang
AAML
69
17
0
17 Jun 2022
DFG-NAS: Deep and Flexible Graph Neural Architecture Search
DFG-NAS: Deep and Flexible Graph Neural Architecture Search
Wentao Zhang
Zheyu Lin
Yu Shen
Yang Li
Zhi-Xin Yang
Tengjiao Wang
GNNAI4CE
58
5
0
17 Jun 2022
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural
  Networks via Normalization
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization
Langzhang Liang
Zenglin Xu
Zixing Song
Irwin King
Yuan Qi
Jieping Ye
120
24
0
16 Jun 2022
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a
  Scalable Hyper-Ensemble Solution
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
Xueying Ding
Lingxiao Zhao
Leman Akoglu
OODD
81
22
0
15 Jun 2022
CLNode: Curriculum Learning for Node Classification
CLNode: Curriculum Learning for Node Classification
Xiaowen Wei
Xiuwen Gong
Yibing Zhan
Bo Du
Yong Luo
Wenbin Hu
83
29
0
15 Jun 2022
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised
  GNN Architecture Search
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search
Yingguang Yang
Renyu Yang
Yangyang Li
Kai Cui
Zhiqin Yang
Yue Wang
Jie Xu
Haiyong Xie
73
50
0
14 Jun 2022
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks
Mingqi Yang
Yanming Shen
Heng Qi
Baocai Yin
40
17
0
11 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling
  Perspective
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective
Zepeng Zhang
Ziping Zhao
AI4CE
71
4
0
09 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks
Model Degradation Hinders Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Ziqi Yin
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Tengjiao Wang
GNNAI4CE
82
43
0
09 Jun 2022
Graph Attention Multi-Layer Perceptron
Graph Attention Multi-Layer Perceptron
Wentao Zhang
Ziqi Yin
Zeang Sheng
Yang Li
Wenbin Ouyang
Xiaosen Li
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
GNNAI4CE
90
108
0
09 Jun 2022
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link
  Prediction
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
Seongjun Yun
Seoyoon Kim
Junhyun Lee
Jaewoo Kang
Hyunwoo J. Kim
GNN
73
121
0
09 Jun 2022
Metric Based Few-Shot Graph Classification
Metric Based Few-Shot Graph Classification
Donato Crisostomi
Simone Antonelli
Valentino Maiorca
Luca Moschella
R. Marin
Emanuele Rodolà
101
5
0
08 Jun 2022
Neural Bandit with Arm Group Graph
Neural Bandit with Arm Group Graph
Yunzhe Qi
Yikun Ban
Jingrui He
83
10
0
08 Jun 2022
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