Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2012.03476
Cited By
v1
v2 (latest)
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification
7 December 2020
Rui Yang
Wenrui Dai
Chenglin Li
Junni Zou
H. Xiong
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification"
50 / 56 papers shown
Title
Robust Counterfactual Explanations on Graph Neural Networks
Mohit Bajaj
Lingyang Chu
Zihui Xue
J. Pei
Lanjun Wang
P. C. Lam
Yong Zhang
OOD
166
100
0
08 Jul 2021
Generative Causal Explanations for Graph Neural Networks
Wanyu Lin
Hao Lan
Baochun Li
CML
63
178
0
14 Apr 2021
On Explainability of Graph Neural Networks via Subgraph Explorations
Hao Yuan
Haiyang Yu
Jie Wang
Kang Li
Shuiwang Ji
FAtt
83
395
0
09 Feb 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic
Maartje ter Hoeve
Gabriele Tolomei
Maarten de Rijke
Fabrizio Silvestri
204
146
0
05 Feb 2021
Hierarchical Graph Capsule Network
Jinyu Yang
P. Zhao
Yu Rong
Chao-chao Yan
Chunyuan Li
Hehuan Ma
Junzhou Huang
67
31
0
16 Dec 2020
Parameterized Explainer for Graph Neural Network
Dongsheng Luo
Wei Cheng
Dongkuan Xu
Wenchao Yu
Bo Zong
Haifeng Chen
Xiang Zhang
149
563
0
09 Nov 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
Minh Nhat Vu
My T. Thai
BDL
91
339
0
12 Oct 2020
Towards Deeper Graph Neural Networks
Meng Liu
Hongyang Gao
Shuiwang Ji
GNN
AI4CE
112
609
0
18 Jul 2020
Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
133
1,505
0
04 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank
Aleksandar Bojchevski
Johannes Klicpera
Bryan Perozzi
Amol Kapoor
Martin J. Blais
Benedek Rozemberczki
Michal Lukasik
Stephan Günnemann
GNN
171
374
0
03 Jul 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
Kaixiong Zhou
Xiao Huang
Yuening Li
Daochen Zha
Rui Chen
Helen Zhou
142
205
0
12 Jun 2020
Bayesian Graph Neural Networks with Adaptive Connection Sampling
Arman Hasanzadeh
Ehsan Hajiramezanali
Shahin Boluki
Mingyuan Zhou
N. Duffield
Krishna R. Narayanan
Xiaoning Qian
BDL
59
118
0
07 Jun 2020
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
106
223
0
05 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Haonan Yuan
Jiliang Tang
Helen Zhou
Shuiwang Ji
93
401
0
03 Jun 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Yaming Yang
Ziyu Guan
Jianxin Li
Wei Zhao
Jiangtao Cui
Quan Wang
GNN
100
176
0
27 May 2020
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
Yimeng Min
Frederik Wenkel
Guy Wolf
GNN
141
114
0
18 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
337
1,128
0
13 Feb 2020
Capsules with Inverted Dot-Product Attention Routing
Yao-Hung Hubert Tsai
Nitish Srivastava
Hanlin Goh
Ruslan Salakhutdinov
74
81
0
12 Feb 2020
Independence Promoted Graph Disentangled Networks
Yanbei Liu
Tianlin Li
Shu Wu
Zhitao Xiao
87
95
0
26 Nov 2019
A Capsule Network-based Model for Learning Node Embeddings
Dai Quoc Nguyen
T. Nguyen
Dat Quoc Nguyen
Dinh Q. Phung
GNN
51
10
0
12 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
GNN
148
849
0
08 Nov 2019
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
160
712
0
28 Oct 2019
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
273
866
0
28 Sep 2019
PairNorm: Tackling Oversmoothing in GNNs
Lingxiao Zhao
Leman Akoglu
76
511
0
26 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
97
1,113
0
07 Sep 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
117
1,349
0
25 Jul 2019
Explainability Techniques for Graph Convolutional Networks
Federico Baldassarre
Hossein Azizpour
GNN
FAtt
178
272
0
31 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija
Bryan Perozzi
Amol Kapoor
N. Alipourfard
Kristina Lerman
Hrayr Harutyunyan
Greg Ver Steeg
Aram Galstyan
GNN
105
918
0
30 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Matthias Fey
GNN
66
47
0
09 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPC
GNN
141
1,352
0
07 Apr 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
155
1,334
0
10 Mar 2019
Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations
Marcelo Daniel Gutierrez Mallea
Peter Meltzer
Peter J Bentley
GNN
43
21
0
22 Feb 2019
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
254
3,189
0
19 Feb 2019
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
173
1,367
0
14 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
225
1,695
0
14 Oct 2018
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao
Zhengyang Wang
Shuiwang Ji
GNN
92
597
0
12 Aug 2018
Group Equivariant Capsule Networks
J. E. Lenssen
Matthias Fey
Pascal Libuschewski
91
109
0
13 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
526
1,991
0
09 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNN
BDL
277
3,556
0
06 Jun 2018
Graph Capsule Convolutional Neural Networks
Saurabh Verma
Zhi-Li Zhang
GNN
96
129
0
21 May 2018
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN
3DPC
265
6,181
0
24 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNN
SSL
199
2,842
0
22 Jan 2018
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
491
20,296
0
30 Oct 2017
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
203
4,612
0
26 Oct 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski
Stephan Günnemann
BDL
99
648
0
12 Jul 2017
struc2vec: Learning Node Representations from Structural Identity
Leonardo F. R. Ribeiro
Pedro H. P. Saverese
Daniel R. Figueiredo
106
1,164
0
11 Apr 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
M. Simonovsky
N. Komodakis
GNN
234
1,232
0
10 Apr 2017
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
600
7,501
0
04 Apr 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
442
1,824
0
25 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
700
29,220
0
09 Sep 2016
1
2
Next