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Graph Convolutional Networks using Heat Kernel for Semi-supervised
  Learning

Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning

27 July 2020
Bingbing Xu
Huawei Shen
Qi Cao
Keting Cen
Xueqi Cheng
ArXiv (abs)PDFHTML

Papers citing "Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning"

50 / 57 papers shown
Title
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
Meng Qin
Jiahong Liu
Irwin King
31
0
0
27 May 2025
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
Guoguo Ai
Guansong Pang
Hezhe Qiao
Yuan Gao
Hui Yan
190
0
0
26 Nov 2024
Graph Transformers Dream of Electric Flow
Graph Transformers Dream of Electric Flow
Xiang Cheng
Lawrence Carin
S. Sra
92
0
0
22 Oct 2024
Redesigning graph filter-based GNNs to relax the homophily assumption
Redesigning graph filter-based GNNs to relax the homophily assumption
Samuel Rey
Madeline Navarro
Victor M. Tenorio
Santiago Segarra
Antonio G. Marques
80
4
0
13 Sep 2024
Transformers from Diffusion: A Unified Framework for Neural Message Passing
Transformers from Diffusion: A Unified Framework for Neural Message Passing
Qitian Wu
David Wipf
Junchi Yan
DiffM
135
1
0
13 Sep 2024
Graph Structure Prompt Learning: A Novel Methodology to Improve
  Performance of Graph Neural Networks
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks
Zhenhua Huang
Kunhao Li
Shaojie Wang
Zhaohong Jia
Wentao Zhu
Sharad Mehrotra
GNN
90
0
0
16 Jul 2024
Bundle Neural Networks for message diffusion on graphs
Bundle Neural Networks for message diffusion on graphs
Jacob Bamberger
Federico Barbero
Xiaowen Dong
Michael M. Bronstein
125
3
0
24 May 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for
  Neural Networks
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks
Tangjun Wang
Chenglong Bao
Zuoqiang Shi
DiffM
81
1
0
23 Mar 2024
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node
  Classification
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification
Qiuyu Liang
Weihua Wang
F. Bao
Guanglai Gao
75
9
0
10 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge
  Distillation Framework
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework
Junxian Li
Bin Shi
Erfei Cui
Hua Wei
Qinghua Zheng
92
0
0
02 Mar 2024
Learning to Approximate Adaptive Kernel Convolution on Graphs
Learning to Approximate Adaptive Kernel Convolution on Graphs
Jaeyoon Sim
Sooyeon Jeon
Injun Choi
Guorong Wu
Won Hwa Kim
76
3
0
22 Jan 2024
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering
Bingheng Li
Erlin Pan
Zhao Kang
95
35
0
22 Dec 2023
A Quasi-Wasserstein Loss for Learning Graph Neural Networks
A Quasi-Wasserstein Loss for Learning Graph Neural Networks
Minjie Cheng
Hongteng Xu
76
1
0
18 Oct 2023
My Brother Helps Me: Node Injection Based Adversarial Attack on Social
  Bot Detection
My Brother Helps Me: Node Injection Based Adversarial Attack on Social Bot Detection
Lanjun Wang
Xinran Qiao
Yanwei Xie
Weizhi Nie
Yongdong Zhang
Anan Liu
GNN
83
5
0
11 Oct 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs
QDC: Quantum Diffusion Convolution Kernels on Graphs
Thomas Markovich
GNN
60
4
0
20 Jul 2023
Self-supervised Learning and Graph Classification under Heterophily
Self-supervised Learning and Graph Classification under Heterophily
Y. Ding
Ziqiang Liu
Hao Hao
SSL
47
1
0
14 Jun 2023
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data
  Classification
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification
Gokul Bhusal
Ekaterina Merkurjev
Guo-Wei Wei
79
1
0
25 May 2023
Multi-View Graph Representation Learning Beyond Homophily
Multi-View Graph Representation Learning Beyond Homophily
Bei Lin
You Li
Ning Gui
Zhuopeng Xu
Zhiwu Yu
SSL
95
8
0
15 Apr 2023
Graph Adversarial Immunization for Certifiable Robustness
Graph Adversarial Immunization for Certifiable Robustness
Shuchang Tao
Huawei Shen
Qi Cao
Yunfan Wu
Liang Hou
Xueqi Cheng
AAML
120
5
0
16 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph
  Neural Network
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network
Wendong Bi
Bingbing Xu
Xiaoqian Sun
Li Xu
Huawei Shen
Xueqi Cheng
120
16
0
02 Feb 2023
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph
  with Hierarchical Graph Neural Networks
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks
Wendong Bi
Bingbing Xu
Xiaoqian Sun
Zidong Wang
Huawei Shen
Xueqi Cheng
AI4TS
92
31
0
31 Jan 2023
Node Injection for Class-specific Network Poisoning
Node Injection for Class-specific Network Poisoning
Ansh Sharma
Rahul Kukreja
Mayank Kharbanda
Tanmoy Chakraborty
AAMLGNN
90
13
0
28 Jan 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained
  Diffusion
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
Qitian Wu
Chenxiao Yang
Wen-Long Zhao
Yixuan He
David Wipf
Junchi Yan
DiffM
109
89
0
23 Jan 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Zi-Chao Gao
Yifan Niu
Jiashun Cheng
Jianheng Tang
Tingyang Xu
P. Zhao
Lanqing Li
Fugee Tsung
Jia Li
124
13
0
30 Nov 2022
Learning Optimal Graph Filters for Clustering of Attributed Graphs
Learning Optimal Graph Filters for Clustering of Attributed Graphs
Meiby Ortiz-Bouza
Selin Aviyente
GNN
102
1
0
09 Nov 2022
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for
  Long Sequences
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences
Aosong Feng
Irene Li
Yuang Jiang
Rex Ying
79
18
0
21 Oct 2022
Correlating sparse sensing for large-scale traffic speed estimation: A
  Laplacian-enhanced low-rank tensor kriging approach
Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach
Tong Nie
Guoyang Qin
Yunpeng Wang
Jian Sun
101
27
0
21 Oct 2022
Adversarial Camouflage for Node Injection Attack on Graphs
Adversarial Camouflage for Node Injection Attack on Graphs
Shuchang Tao
Qi Cao
Huawei Shen
Yunfan Wu
Liang Hou
Fei Sun
Xueqi Cheng
AAMLGNN
95
24
0
03 Aug 2022
Graph Representation Learning Beyond Node and Homophily
Graph Representation Learning Beyond Node and Homophily
You Li
Bei Lin
Binli Luo
Ning Gui
SSL
87
16
0
03 Mar 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation,
  Revisited
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
Mingguo He
Zhewei Wei
Ji-Rong Wen
GNN
94
112
0
04 Feb 2022
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
R. A. Khan
M. Kleinsteuber
SSL
53
3
0
29 Oct 2021
Single Node Injection Attack against Graph Neural Networks
Single Node Injection Attack against Graph Neural Networks
Shuchang Tao
Qi Cao
Huawei Shen
Junjie Huang
Yunfan Wu
Xueqi Cheng
AAMLGNN
106
70
0
30 Aug 2021
Signed Bipartite Graph Neural Networks
Signed Bipartite Graph Neural Networks
Junjie Huang
Huawei Shen
Qi Cao
Shuchang Tao
Xueqi Cheng
62
45
0
22 Aug 2021
Variational Graph Normalized Auto-Encoders
Variational Graph Normalized Auto-Encoders
S. Ahn
Myoung-Ho Kim
63
74
0
18 Aug 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein
  Approximation
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He
Zhewei Wei
Zengfeng Huang
Hongteng Xu
116
230
0
21 Jun 2021
Relational Graph Neural Network Design via Progressive Neural
  Architecture Search
Relational Graph Neural Network Design via Progressive Neural Architecture Search
Ailing Zeng
Minhao Liu
Zhiwei Liu
Ruiyuan Gao
Jing Qin
Qiang Xu
90
0
0
30 May 2021
An efficient scheme based on graph centrality to select nodes for
  training for effective learning
An efficient scheme based on graph centrality to select nodes for training for effective learning
C. Sandeep
Asif Salim
R. Sethunadh
S. Sumitra
3DPC
36
1
0
29 Apr 2021
Probing Negative Sampling Strategies to Learn GraphRepresentations via
  Unsupervised Contrastive Learning
Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning
Shiyi Chen
Ziao Wang
Xinni Zhang
Xiaofeng Zhang
Dan Peng
SSL
56
1
0
13 Apr 2021
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction
Hao Gao
Yongqing Wang
Shanshan Lyu
Huawei Shen
Xueqi Cheng
35
7
0
19 Mar 2021
Graph-based Semi-supervised Learning: A Comprehensive Review
Graph-based Semi-supervised Learning: A Comprehensive Review
Zixing Song
Xiangli Yang
Zenglin Xu
Irwin King
154
209
0
26 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
GNN
121
84
0
22 Feb 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
181
597
0
04 Jan 2021
Adaptive Graph Diffusion Networks
Adaptive Graph Diffusion Networks
Chuxiong Sun
Jie Hu
Hongming Gu
Jinpeng Chen
Mingchuan Yang
GNNDiffMAI4CE
88
12
0
30 Dec 2020
Coupled Layer-wise Graph Convolution for Transportation Demand
  Prediction
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
Junchen Ye
Leilei Sun
Bowen Du
Yanjie Fu
Hui Xiong
GNNAI4TS
85
153
0
15 Dec 2020
DiffusionNet: Discretization Agnostic Learning on Surfaces
DiffusionNet: Discretization Agnostic Learning on Surfaces
Nicholas Sharp
Souhaib Attaiki
Keenan Crane
M. Ovsjanikov
3DH
99
211
0
01 Dec 2020
Dirichlet Graph Variational Autoencoder
Dirichlet Graph Variational Autoencoder
Jia Li
Tomas Yu
Jiajin Li
Honglei Zhang
Kangfei Zhao
Yu Rong
Hong Cheng
Junzhou Huang
BDL
91
52
0
09 Oct 2020
Framework for Designing Filters of Spectral Graph Convolutional Neural
  Networks in the Context of Regularization Theory
Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory
Asif Salim
S. Sumitra
GNN
35
3
0
29 Sep 2020
Multi-Level Graph Convolutional Network with Automatic Graph Learning
  for Hyperspectral Image Classification
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification
Sheng Wan
Chen Gong
Shirui Pan
Jie Yang
Jian Yang
49
3
0
19 Sep 2020
Decoupled Variational Embedding for Signed Directed Networks
Decoupled Variational Embedding for Signed Directed Networks
Xu Chen
Jiangchao Yao
Maosen Li
Ya Zhang
Yanfeng Wang
66
4
0
28 Aug 2020
Label-Consistency based Graph Neural Networks for Semi-supervised Node
  Classification
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification
Bingbing Xu
Junjie Huang
Liang Hou
Huawei Shen
Jinhua Gao
Xueqi Cheng
56
41
0
27 Jul 2020
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