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2007.16002
Cited By
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2019
27 July 2020
Bingbing Xu
Huawei Shen
Qi Cao
Keting Cen
Xueqi Cheng
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Papers citing
"Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning"
50 / 58 papers shown
Fractional Heat Kernel for Semi-Supervised Graph Learning with Small Training Sample Size
Farid Bozorgnia
Vyacheslav Kungurtsev
Shirali Kadyrov
Mohsen Yousefnezhad
165
0
0
06 Oct 2025
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
Meng Qin
Jiahong Liu
Irwin King
295
1
0
27 May 2025
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
Guoguo Ai
Guansong Pang
Hezhe Qiao
Yuan Gao
Hui Yan
624
3
0
26 Nov 2024
Graph Transformers Dream of Electric Flow
International Conference on Learning Representations (ICLR), 2024
Xiang Cheng
Lawrence Carin
S. Sra
373
2
0
22 Oct 2024
Redesigning graph filter-based GNNs to relax the homophily assumption
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Samuel Rey
Madeline Navarro
Victor M. Tenorio
Santiago Segarra
Antonio G. Marques
380
9
0
13 Sep 2024
Transformers from Diffusion: A Unified Framework for Neural Message Passing
Qitian Wu
David Wipf
Junchi Yan
DiffM
621
1
0
13 Sep 2024
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
283
0
0
16 Jul 2024
Bundle Neural Networks for message diffusion on graphs
Jacob Bamberger
Federico Barbero
Xiaowen Dong
Michael M. Bronstein
445
10
0
24 May 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Tangjun Wang
Chenglong Bao
Zuoqiang Shi
DiffM
284
3
0
23 Mar 2024
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification
International Conference on Language Resources and Evaluation (LREC), 2024
Qiuyu Liang
Weihua Wang
F. Bao
Guanglai Gao
361
11
0
10 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework
Junxian Li
Bin Shi
Erfei Cui
Hua Wei
Qinghua Zheng
337
1
0
02 Mar 2024
Learning to Approximate Adaptive Kernel Convolution on Graphs
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jaeyoon Sim
Sooyeon Jeon
Injun Choi
Guorong Wu
Won Hwa Kim
318
6
0
22 Jan 2024
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering
Bingheng Li
Erlin Pan
Zhao Kang
324
65
0
22 Dec 2023
A Quasi-Wasserstein Loss for Learning Graph Neural Networks
The Web Conference (WWW), 2023
Minjie Cheng
Hongteng Xu
460
2
0
18 Oct 2023
My Brother Helps Me: Node Injection Based Adversarial Attack on Social Bot Detection
ACM Multimedia (ACM MM), 2023
Yiwen Ma
Xinran Qiao
Yanwei Xie
Weizhi Nie
Yongdong Zhang
Anan Liu
GNN
305
11
0
11 Oct 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs
Thomas Markovich
GNN
314
4
0
20 Jul 2023
Self-supervised Learning and Graph Classification under Heterophily
International Conference on Information and Knowledge Management (CIKM), 2023
Y. Ding
Ziqiang Liu
Hao Hao
SSL
171
3
0
14 Jun 2023
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification
Machine-mediated learning (ML), 2023
Gokul Bhusal
Ekaterina Merkurjev
Guo-Wei Wei
345
4
0
25 May 2023
Multi-View Graph Representation Learning Beyond Homophily
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Bei Lin
You Li
Ning Gui
Zhuopeng Xu
Zhiwu Yu
SSL
344
14
0
15 Apr 2023
Graph Adversarial Immunization for Certifiable Robustness
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Shuchang Tao
Huawei Shen
Qi Cao
Yunfan Wu
Liang Hou
Xueqi Cheng
AAML
439
9
0
16 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network
The Web Conference (WWW), 2023
Wendong Bi
Bingbing Xu
Xiaoqian Sun
Li Xu
Huawei Shen
Xueqi Cheng
451
19
0
02 Feb 2023
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks
Knowledge Discovery and Data Mining (KDD), 2022
Wendong Bi
Bingbing Xu
Xiaoqian Sun
Zidong Wang
Huawei Shen
Xueqi Cheng
AI4TS
232
48
0
31 Jan 2023
Node Injection for Class-specific Network Poisoning
Neural Networks (Neural Netw.), 2023
Ansh Sharma
Rahul Kukreja
Mayank Kharbanda
Tanmoy Chakraborty
AAML
GNN
342
15
0
28 Jan 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
International Conference on Learning Representations (ICLR), 2023
Qitian Wu
Chenxiao Yang
Wen-Long Zhao
Yixuan He
David Wipf
Junchi Yan
DiffM
492
140
0
23 Jan 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
AAAI Conference on Artificial Intelligence (AAAI), 2022
Zi-Chao Gao
Yifan Niu
Jiashun Cheng
Jianheng Tang
Qifeng Bai
P. Zhao
Lanqing Li
Fugee Tsung
Jia Li
256
16
0
30 Nov 2022
Learning Optimal Graph Filters for Clustering of Attributed Graphs
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2022
Meiby Ortiz-Bouza
Selin Aviyente
GNN
375
2
0
09 Nov 2022
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences
AAAI Conference on Artificial Intelligence (AAAI), 2022
Aosong Feng
Irene Li
Yuang Jiang
Rex Ying
243
19
0
21 Oct 2022
Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach
Transportation Research Part C: Emerging Technologies (TRC), 2022
Tong Nie
Guoyang Qin
Yunpeng Wang
Jian Sun
346
40
0
21 Oct 2022
Adversarial Camouflage for Node Injection Attack on Graphs
Information Sciences (Inf. Sci.), 2022
Shuchang Tao
Qi Cao
Huawei Shen
Yunfan Wu
Liang Hou
Fei Sun
Xueqi Cheng
AAML
GNN
422
31
0
03 Aug 2022
Graph Representation Learning Beyond Node and Homophily
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
You Li
Bei Lin
Binli Luo
Ning Gui
SSL
230
21
0
03 Mar 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
Neural Information Processing Systems (NeurIPS), 2022
Mingguo He
Zhewei Wei
Ji-Rong Wen
GNN
487
186
0
04 Feb 2022
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
R. A. Khan
M. Kleinsteuber
SSL
237
3
0
29 Oct 2021
Single Node Injection Attack against Graph Neural Networks
International Conference on Information and Knowledge Management (CIKM), 2021
Shuchang Tao
Qi Cao
Huawei Shen
Junjie Huang
Yunfan Wu
Xueqi Cheng
AAML
GNN
388
90
0
30 Aug 2021
Signed Bipartite Graph Neural Networks
International Conference on Information and Knowledge Management (CIKM), 2021
Junjie Huang
Huawei Shen
Qi Cao
Shuchang Tao
Xueqi Cheng
300
58
0
22 Aug 2021
Variational Graph Normalized Auto-Encoders
S. Ahn
Myoung-Ho Kim
285
99
0
18 Aug 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Neural Information Processing Systems (NeurIPS), 2021
Mingguo He
Zhewei Wei
Zengfeng Huang
Hongteng Xu
476
331
0
21 Jun 2021
Relational Graph Neural Network Design via Progressive Neural Architecture Search
Ailing Zeng
Minhao Liu
Zhiwei Liu
Ruiyuan Gao
Jing Qin
Qiang Xu
289
0
0
30 May 2021
An efficient scheme based on graph centrality to select nodes for training for effective learning
C. Sandeep
Asif Salim
R. Sethunadh
S. Sumitra
3DPC
216
1
0
29 Apr 2021
Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning
Shiyi Chen
Ziao Wang
Xinni Zhang
Xiaofeng Zhang
Dan Peng
SSL
176
1
0
13 Apr 2021
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction
Hao Gao
Yongqing Wang
Shanshan Lyu
Huawei Shen
Xueqi Cheng
169
7
0
19 Mar 2021
Graph-based Semi-supervised Learning: A Comprehensive Review
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zixing Song
Xiangli Yang
Zenglin Xu
Irwin King
426
281
0
26 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Neural Information Processing Systems (NeurIPS), 2021
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
GNN
325
98
0
22 Feb 2021
Beyond Low-frequency Information in Graph Convolutional Networks
AAAI Conference on Artificial Intelligence (AAAI), 2021
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
557
768
0
04 Jan 2021
Adaptive Graph Diffusion Networks
Chuxiong Sun
Jie Hu
Hongming Gu
Jinpeng Chen
Junchi Yan
GNN
DiffM
AI4CE
231
15
0
30 Dec 2020
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
AAAI Conference on Artificial Intelligence (AAAI), 2020
Junchen Ye
Leilei Sun
Bowen Du
Yanjie Fu
Hui Xiong
GNN
AI4TS
257
197
0
15 Dec 2020
DiffusionNet: Discretization Agnostic Learning on Surfaces
ACM Transactions on Graphics (TOG), 2020
Nicholas Sharp
Souhaib Attaiki
Keenan Crane
M. Ovsjanikov
3DH
502
280
0
01 Dec 2020
Dirichlet Graph Variational Autoencoder
Neural Information Processing Systems (NeurIPS), 2020
Jia Li
Tomas Yu
Jiajin Li
Honglei Zhang
Kangfei Zhao
Yu Rong
Hong Cheng
Junzhou Huang
BDL
387
71
0
09 Oct 2020
Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory
Asif Salim
S. Sumitra
GNN
126
3
0
29 Sep 2020
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification
Sheng Wan
Chen Gong
Shirui Pan
Jie Yang
Zhiqiang Wang
193
4
0
19 Sep 2020
Decoupled Variational Embedding for Signed Directed Networks
ACM Transactions on the Web (TWEB), 2020
Xu Chen
Jiangchao Yao
Maosen Li
Ya Zhang
Yanfeng Wang
201
5
0
28 Aug 2020
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