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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
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
254
1,309
0
10 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks
Towards More Practical Adversarial Attacks on Graph Neural Networks
Jiaqi Ma
Shuangrui Ding
Qiaozhu Mei
AAML
73
122
0
09 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Ziwei Zhang
Peng Cui
J. Pei
Xin Eric Wang
Wenwu Zhu
GNN
84
33
0
08 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks
  Applications
The Impact of Global Structural Information in Graph Neural Networks Applications
Davide Buffelli
Fabio Vandin
AI4CE
66
8
0
06 Jun 2020
Non-Local Graph Neural Networks
Non-Local Graph Neural Networks
Meng Liu
Zhengyang Wang
Shuiwang Ji
128
166
0
29 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
135
397
0
22 May 2020
Graphs, Entities, and Step Mixture
Graphs, Entities, and Step Mixture
Kyuyong Shin
Wonyoung Shin
Jung-Woo Ha
Sunyoung Kwon
30
1
0
18 May 2020
Structural Temporal Graph Neural Networks for Anomaly Detection in
  Dynamic Graphs
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
Lei Cai
Zhengzhang Chen
Chen Luo
Jiaping Gui
Jingchao Ni
Ding Li
Haifeng Chen
62
129
0
15 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
311
2,759
0
02 May 2020
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
Kexin Huang
C. Xiao
Lucas Glass
Marinka Zitnik
Jimeng Sun
GNN
67
124
0
30 Apr 2020
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph
Liying Cheng
Dekun Wu
Lidong Bing
Yan Zhang
Zhanming Jie
Wei Lu
Luo Si
3DV
25
2
0
30 Apr 2020
SIGN: Scalable Inception Graph Neural Networks
SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca
Emanuele Rossi
D. Eynard
B. Chamberlain
M. Bronstein
Federico Monti
GNN
160
402
0
23 Apr 2020
Graph Highway Networks
Graph Highway Networks
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
J. Jose
GNN
59
5
0
09 Apr 2020
Deep Learning and Open Set Malware Classification: A Survey
Deep Learning and Open Set Malware Classification: A Survey
Jingyun Jia
31
2
0
08 Apr 2020
Geometrically Principled Connections in Graph Neural Networks
Geometrically Principled Connections in Graph Neural Networks
Shunwang Gong
Mehdi Bahri
M. Bronstein
Stefanos Zafeiriou
GNNAI4CE
89
21
0
06 Apr 2020
Revisiting Over-smoothing in Deep GCNs
Revisiting Over-smoothing in Deep GCNs
Chaoqi Yang
Ruijie Wang
Shuochao Yao
Shengzhong Liu
Tarek Abdelzaher
93
97
0
30 Mar 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive
  Connection
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection
Xiaoya Li
Yuxian Meng
Mingxin Zhou
Qinghong Han
Leilei Gan
Jiwei Li
79
20
0
22 Mar 2020
Probabilistic Dual Network Architecture Search on Graphs
Probabilistic Dual Network Architecture Search on Graphs
Yiren Zhao
Duo Wang
Xitong Gao
Robert D. Mullins
Pietro Lio
M. Jamnik
GNNAI4CE
108
27
0
21 Mar 2020
PushNet: Efficient and Adaptive Neural Message Passing
PushNet: Efficient and Adaptive Neural Message Passing
Julian Busch
Jiaxing Pi
T. Seidl
GNN
93
12
0
04 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
612
956
0
02 Mar 2020
Permutation Invariant Graph Generation via Score-Based Generative
  Modeling
Permutation Invariant Graph Generation via Score-Based Generative Modeling
Chenhao Niu
Yang Song
Jiaming Song
Shengjia Zhao
Aditya Grover
Stefano Ermon
DiffM
81
274
0
02 Mar 2020
Permutohedral-GCN: Graph Convolutional Networks with Global Attention
Permutohedral-GCN: Graph Convolutional Networks with Global Attention
Hesham Mostafa
Marcel Nassar
66
7
0
02 Mar 2020
An End-to-End Graph Convolutional Kernel Support Vector Machine
An End-to-End Graph Convolutional Kernel Support Vector Machine
P. Corcoran
24
6
0
29 Feb 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph
  Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu Aggarwal
Chang-Tien Lu
87
46
0
27 Feb 2020
Adaptive Propagation Graph Convolutional Network
Adaptive Propagation Graph Convolutional Network
Indro Spinelli
Simone Scardapane
A. Uncini
GNN
104
78
0
24 Feb 2020
One-Class Graph Neural Networks for Anomaly Detection in Attributed
  Networks
One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks
Xuhong Wang
Baihong Jin
Ying Du
Ping Cui
Yupu Yang
GNN
57
9
0
22 Feb 2020
Memory-Based Graph Networks
Memory-Based Graph Networks
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
161
91
0
21 Feb 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Han Yang
Xiao Yan
XINYAN DAI
Yongqiang Chen
James Cheng
127
36
0
18 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and
  Deep Graph Neural Network
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
GNN
94
32
0
17 Feb 2020
Unifying Graph Convolutional Neural Networks and Label Propagation
Unifying Graph Convolutional Neural Networks and Label Propagation
Hongwei Wang
J. Leskovec
GNN
101
171
0
17 Feb 2020
Generalization and Representational Limits of Graph Neural Networks
Generalization and Representational Limits of Graph Neural Networks
Vikas Garg
Stefanie Jegelka
Tommi Jaakkola
GNN
108
314
0
14 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
346
1,131
0
13 Feb 2020
Graph Convolutional Gaussian Processes For Link Prediction
Graph Convolutional Gaussian Processes For Link Prediction
Felix L. Opolka
Pietro Lio
GNN
81
15
0
11 Feb 2020
Regularizing Semi-supervised Graph Convolutional Networks with a
  Manifold Smoothness Loss
Regularizing Semi-supervised Graph Convolutional Networks with a Manifold Smoothness Loss
Qilin Li
Wanquan Liu
Ling Li
25
0
0
11 Feb 2020
Can Graph Neural Networks Count Substructures?
Can Graph Neural Networks Count Substructures?
Zhengdao Chen
Lei Chen
Soledad Villar
Joan Bruna
GNN
147
330
0
10 Feb 2020
Bilinear Graph Neural Network with Neighbor Interactions
Bilinear Graph Neural Network with Neighbor Interactions
Hongmin Zhu
Fuli Feng
Xiangnan He
Xiang Wang
Yan Li
Kai Zheng
Yongdong Zhang
27
3
0
10 Feb 2020
Message Passing Query Embedding
Message Passing Query Embedding
Daniel Daza
Michael Cochez
GNN
76
7
0
06 Feb 2020
Modeling Global and Local Node Contexts for Text Generation from
  Knowledge Graphs
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs
Leonardo F. R. Ribeiro
Yue Zhang
Claire Gardent
Iryna Gurevych
61
73
0
29 Jan 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph
  Convolutional Network Approach
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Lei Chen
Le Wu
Richang Hong
Kun Zhang
Meng Wang
GNN
96
504
0
28 Jan 2020
Deep Graph Matching Consensus
Deep Graph Matching Consensus
Matthias Fey
J. E. Lenssen
Christopher Morris
Jonathan Masci
Nils M. Kriege
78
212
0
27 Jan 2020
Siamese Graph Neural Networks for Data Integration
Siamese Graph Neural Networks for Data Integration
E. Krivosheev
Mattia Atzeni
Katsiaryna Mirylenka
P. Scotton
Fabio Casati
GNN
46
13
0
17 Jan 2020
Graph Attentional Autoencoder for Anticancer Hyperfood Prediction
Graph Attentional Autoencoder for Anticancer Hyperfood Prediction
Guadalupe Gonzalez
Shunwang Gong
I. Laponogov
Kirill Veselkov
M. Bronstein
GNN
83
3
0
16 Jan 2020
Understanding Graph Isomorphism Network for rs-fMRI Functional
  Connectivity Analysis
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis
Byung-Hoon Kim
J. C. Ye
AI4CEGNN
86
133
0
10 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture
HyGCN: A GCN Accelerator with Hybrid Architecture
Yurui Lai
Lei Deng
Xing Hu
Ling Liang
Yujing Feng
Xiaochun Ye
Zhimin Zhang
Xiaochun Ye
Yuan Xie
GNN
110
296
0
07 Jan 2020
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
Alessio Micheli
Marco Podda
AI4CEGNN
135
281
0
29 Dec 2019
Tracing the Propagation Path: A Flow Perspective of Representation
  Learning on Graphs
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs
Menghan Wang
Kun Zhang
Gulin Li
Keping Yang
Luo Si
GNN
16
0
0
12 Dec 2019
Continuous Graph Neural Networks
Continuous Graph Neural Networks
Louis-Pascal Xhonneux
Meng Qu
Jian Tang
GNN
105
156
0
02 Dec 2019
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature
  Relations
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations
Chen Wang
Chengyuan Deng
Vladimir A. Ivanov
GNNDRL
38
6
0
27 Nov 2019
Graph Neural Ordinary Differential Equations
Graph Neural Ordinary Differential Equations
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
158
163
0
18 Nov 2019
Inductive Relation Prediction by Subgraph Reasoning
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru
E. Denis
William L. Hamilton
NAIAI4CE
102
398
0
16 Nov 2019
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