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1806.03536
Cited By
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
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Papers citing
"Representation Learning on Graphs with Jumping Knowledge Networks"
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Title
Motif-based Graph Representation Learning with Application to Chemical Molecules
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Kedar Karhadkar
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Uri Alon
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Robust Graph Neural Networks using Weighted Graph Laplacian
Bharat Runwal
Vivek
Sandeep Kumar
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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
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24
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27 Jul 2022
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks
Mauro Conti
Jiaxin Li
S. Picek
Jing Xu
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23
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27 Jul 2022
GNN Transformation Framework for Improving Efficiency and Scalability
Seiji Maekawa
Yuya Sasaki
G. Fletcher
Makoto Onizuka
GNN
22
1
0
25 Jul 2022
Detecting Small Query Graphs in A Large Graph via Neural Subgraph Search
Yunsheng Bai
Derek Xu
Yizhou Sun
Wei Wang
GNN
21
0
0
21 Jul 2022
pathGCN: Learning General Graph Spatial Operators from Paths
Moshe Eliasof
E. Haber
Eran Treister
3DPC
GNN
31
26
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15 Jul 2022
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction
Yuankai Wu
Hongyu Yang
Yi Lin
Hong Liu
AI4TS
6
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14 Jul 2022
Reinforced Path Reasoning for Counterfactual Explainable Recommendation
Xiang-jian Wang
Qian Li
Dianer Yu
Guandong Xu
CML
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22
16
0
14 Jul 2022
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search
Xu Wang
Huan Zhao
Lanning Wei
Quanming Yao
AI4CE
GNN
15
3
0
13 Jul 2022
The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems
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Peng Jiang
Shiji Song
42
6
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A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition
Ying Hu
Yu Tang
Hao-Ming Huang
Liang He
30
5
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Transforming PageRank into an Infinite-Depth Graph Neural Network
Andreas Roth
Thomas Liebig
GNN
34
14
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Modeling Teams Performance Using Deep Representational Learning on Graphs
Francesco Carli
Pietro Foini
N. Gozzi
N. Perra
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28
0
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Optimization-Induced Graph Implicit Nonlinear Diffusion
Qi Chen
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
DiffM
48
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29 Jun 2022
Deformable Graph Transformer
Jinyoung Park
Seongjun Yun
Hyeon-ju Park
Jaewoo Kang
Jisu Jeong
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
90
7
0
29 Jun 2022
Task-Adaptive Few-shot Node Classification
Song Wang
Kaize Ding
Chuxu Zhang
Chen Chen
Jundong Li
OffRL
36
48
0
23 Jun 2022
Ordered Subgraph Aggregation Networks
Chao Qian
Gaurav Rattan
Floris Geerts
Christopher Morris
Mathias Niepert
41
57
0
22 Jun 2022
Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks
Jinsong Chen
Boyu Li
Qiuting He
Kun He
30
0
0
21 Jun 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
Yi Qin
Ziwei Zhang
Xin Wang
Zeyang Zhang
Wenwu Zhu
27
26
0
18 Jun 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
Seiji Maekawa
Koki Noda
Yuya Sasaki
Makoto Onizuka
22
21
0
18 Jun 2022
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
28
16
0
17 Jun 2022
DFG-NAS: Deep and Flexible Graph Neural Architecture Search
Wentao Zhang
Zheyu Lin
Yu Shen
Yang Li
Zhi-Xin Yang
Tengjiao Wang
GNN
AI4CE
27
5
0
17 Jun 2022
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
32
21
0
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Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
Xueying Ding
Lingxiao Zhao
L. Akoglu
OODD
41
22
0
15 Jun 2022
CLNode: Curriculum Learning for Node Classification
Xiaowen Wei
Xiuwen Gong
Yibing Zhan
Bo Du
Yong Luo
Wenbin Hu
25
27
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15 Jun 2022
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
22
45
0
14 Jun 2022
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks
Mingqi Yang
Yanming Shen
Heng Qi
Baocai Yin
25
17
0
11 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective
Zepeng Zhang
Ziping Zhao
AI4CE
27
4
0
09 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Ziqi Yin
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Tengjiao Wang
GNN
AI4CE
26
39
0
09 Jun 2022
Graph Attention Multi-Layer Perceptron
Wentao Zhang
Ziqi Yin
Zeang Sheng
Yang Li
Wenbin Ouyang
Xiaosen Li
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
GNN
AI4CE
30
99
0
09 Jun 2022
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
Seongjun Yun
Seoyoon Kim
Junhyun Lee
Jaewoo Kang
Hyunwoo J. Kim
GNN
21
110
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Metric Based Few-Shot Graph Classification
Donato Crisostomi
Simone Antonelli
Valentino Maiorca
Luca Moschella
R. Marin
Emanuele Rodolà
32
5
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08 Jun 2022
Neural Bandit with Arm Group Graph
Yunzhe Qi
Yikun Ban
Jingrui He
27
10
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Decoupled Self-supervised Learning for Non-Homophilous Graphs
Teng Xiao
Zhengyu Chen
Zhimeng Guo
Zeyang Zhuang
Suhang Wang
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Mixed Graph Contrastive Network for Semi-Supervised Node Classification
Xihong Yang
Yue Liu
Sihang Zhou
Xinwang Liu
En Zhu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
42
26
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On Calibration of Graph Neural Networks for Node Classification
Tong Liu
Yushan Liu
Marcel Hildebrandt
Mitchell Joblin
Hang Li
Volker Tresp
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11
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Instant Graph Neural Networks for Dynamic Graphs
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Hanzhi Wang
Zhewei Wei
Jiajun Liu
Sibo Wang
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RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning
Haoxing Chen
Guang Yang
Junge Zhang
Qiyue Yin
Kaiqi Huang
20
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Template based Graph Neural Network with Optimal Transport Distances
Cédric Vincent-Cuaz
Rémi Flamary
Marco Corneli
Titouan Vayer
Nicolas Courty
OT
49
20
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Label-Enhanced Graph Neural Network for Semi-supervised Node Classification
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Leilei Sun
Bowen Du
T. Zhu
Weifeng Lv
35
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Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing
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Weiqi Liu
Zhizhong Huang
Junbin Gao
Junping Zhang
Jian Pu
29
3
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Embedding Graphs on Grassmann Manifold
Bingxin Zhou
Xuebin Zheng
Yu Guang Wang
Ming Li
Junbin Gao
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Capturing Graphs with Hypo-Elliptic Diffusions
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Darrick Lee
Celia Hacker
Harald Oberhauser
18
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Raising the Bar in Graph-level Anomaly Detection
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Marius Kloft
Stephan Mandt
Maja R. Rudolph
32
61
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ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting
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Rui Zhang
Xinping Yi
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Yixin Chen
Fuhai Li
Anindya Sarkar
Muhan Zhang
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SS-GNN: A Simple-Structured Graph Neural Network for Affinity Prediction
Shuke Zhang
Yan Jin
Tianmeng Liu
Qi Wang
Zhaohui Zhang
Shuliang Zhao
Bo Shan
33
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Asynchronous Neural Networks for Learning in Graphs
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Roger Wattenhofer
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