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Semi-Supervised Classification with Graph Convolutional Networks

Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016
Thomas Kipf
Max Welling
    GNN
    SSL
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Papers citing "Semi-Supervised Classification with Graph Convolutional Networks"

50 / 7,884 papers shown
Title
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks
T. Fujihashi
T. Koike-Akino
Siheng Chen
Takashi Watanabe
3DPC
18
14
0
17 Jun 2020
Learning Visual Commonsense for Robust Scene Graph Generation
Learning Visual Commonsense for Robust Scene Graph Generation
Alireza Zareian
Zhecan Wang
Haoxuan You
Shih-Fu Chang
44
312
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
43
382
0
16 Jun 2020
Walk Message Passing Neural Networks and Second-Order Graph Neural
  Networks
Walk Message Passing Neural Networks and Second-Order Graph Neural Networks
Floris Geerts
43
8
0
16 Jun 2020
Visualization for Histopathology Images using Graph Convolutional Neural
  Networks
Visualization for Histopathology Images using Graph Convolutional Neural Networks
M. Sureka
Abhijeet Patil
Deepak Anand
A. Sethi
FAtt
GNN
MedIm
29
36
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
Stefanos Zafeiriou
M. Bronstein
65
429
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
57
11
0
15 Jun 2020
Strongly local p-norm-cut algorithms for semi-supervised learning and
  local graph clustering
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
Meng Liu
D. Gleich
21
13
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
42
32
0
15 Jun 2020
ORD: Object Relationship Discovery for Visual Dialogue Generation
ORD: Object Relationship Discovery for Visual Dialogue Generation
Ziwei Wang
Zi Huang
Yadan Luo
Huimin Lu
24
4
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
64
1,597
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
40
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
53
719
0
14 Jun 2020
Graph Meta Learning via Local Subgraphs
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
53
163
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
30
145
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
56
216
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
49
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
35
9
0
12 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
32
103
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
38
202
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
40
101
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
59
408
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
30
88
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
26
121
0
11 Jun 2020
Graph Neural Networks for Motion Planning
Graph Neural Networks for Motion Planning
Arbaaz Khan
Alejandro Ribeiro
Vijay Kumar
Anthony G. Francis
36
30
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
28
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
42
48
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
32
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
36
1,282
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
28
164
0
09 Jun 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement
Xiaojie Guo
Liang Zhao
Zhao Qin
Lingfei Wu
Amarda Shehu
Yanfang Ye
CoGe
DRL
75
46
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
32
295
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
59
670
0
09 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
17
121
0
09 Jun 2020
Nonlinear Higher-Order Label Spreading
Nonlinear Higher-Order Label Spreading
Francesco Tudisco
Austin R. Benson
Konstantin Prokopchik
41
33
0
08 Jun 2020
Graph-based Visual-Semantic Entanglement Network for Zero-shot Image
  Recognition
Graph-based Visual-Semantic Entanglement Network for Zero-shot Image Recognition
Yang Hu
Guihua Wen
Adriane P. Chapman
Pei Yang
Mingnan Luo
Yingxue Xu
Dan Dai
Wendy Hall
42
18
0
08 Jun 2020
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying
  Kernels
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
Yi Zhou
Chenglei Wu
Zimo Li
Chen Cao
Yuting Ye
Jason M. Saragih
Hao Li
Yaser Sheikh
15
75
0
08 Jun 2020
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos
M. Gao
Yingbo Zhou
Ran Xu
R. Socher
Caiming Xiong
29
41
0
05 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
41
218
0
05 Jun 2020
Egocentric Object Manipulation Graphs
Egocentric Object Manipulation Graphs
Eadom Dessalene
Michael Maynord
Chinmaya Devaraj
Cornelia Fermuller
Yiannis Aloimonos
EgoV
40
19
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
44
392
0
03 Jun 2020
Self-supervised Training of Graph Convolutional Networks
Self-supervised Training of Graph Convolutional Networks
Qikui Zhu
Bo Du
Pingkun Yan
SSL
GNN
21
44
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
26
137
0
02 Jun 2020
The Convolution Exponential and Generalized Sylvester Flows
The Convolution Exponential and Generalized Sylvester Flows
Emiel Hoogeboom
Victor Garcia Satorras
Jakub M. Tomczak
Max Welling
38
28
0
02 Jun 2020
Relational Learning Analysis of Social Politics using Knowledge Graph
  Embedding
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding
Bilal Abu-Salih
Marwan Al-Tawil
Ibrahim Aljarah
Hossam Faris
P. Wongthongtham
28
59
0
02 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features
CNNs on Surfaces using Rotation-Equivariant Features
R. Wiersma
E. Eisemann
Klaus Hildebrandt
33
69
0
02 Jun 2020
Towards Feature-free TSP Solver Selection: A Deep Learning Approach
Towards Feature-free TSP Solver Selection: A Deep Learning Approach
Kangfei Zhao
Shengcai Liu
Yu Rong
Jianwei Yu
20
2
0
01 Jun 2020
User Memory Reasoning for Conversational Recommendation
User Memory Reasoning for Conversational Recommendation
Hu Xu
Seungwhan Moon
Honglei Liu
Bing-Quan Liu
Pararth Shah
Bing Liu
Philip S. Yu
OffRL
24
42
0
30 May 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
28
9
0
30 May 2020
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