Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning

27 July 2020

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

50 / 57 papers shown

Title
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 72 0 0 26 Nov 2024
Graph Transformers Dream of Electric Flow Xiang Cheng Lawrence Carin S. Sra 37 0 0 22 Oct 2024
Neural Message Passing Induced by Energy-Constrained Diffusion Qitian Wu David Wipf Junchi Yan DiffM 57 1 0 13 Sep 2024
Redesigning graph filter-based GNNs to relax the homophily assumption Samuel Rey Madeline Navarro Victor M. Tenorio Santiago Segarra Antonio G. Marques 36 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 45 0 0 16 Jul 2024
Bundle Neural Networks for message diffusion on graphs Jacob Bamberger Federico Barbero Xiaowen Dong Michael M. Bronstein 51 1 0 24 May 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification Qiuyu Liang Weihua Wang F. Bao Guanglai Gao 34 7 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 53 0 0 02 Mar 2024
Learning to Approximate Adaptive Kernel Convolution on Graphs Jaeyoon Sim Sooyeon Jeon Injun Choi Guorong Wu Won Hwa Kim 30 3 0 22 Jan 2024
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering Bingheng Li Erlin Pan Zhao Kang 34 32 0 22 Dec 2023
A Quasi-Wasserstein Loss for Learning Graph Neural Networks Minjie Cheng Hongteng Xu 30 1 0 18 Oct 2023
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 42 4 0 11 Oct 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs Thomas Markovich GNN 24 3 0 20 Jul 2023
Self-supervised Learning and Graph Classification under Heterophily Y. Ding Ziqiang Liu Hao Hao SSL 28 1 0 14 Jun 2023
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification Gokul Bhusal Ekaterina Merkurjev Guo-Wei Wei 28 1 0 25 May 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 33 6 0 15 Apr 2023
Graph Adversarial Immunization for Certifiable Robustness Shuchang Tao Huawei Shen Qi Cao Yunfan Wu Liang Hou Xueqi Cheng AAML 11 5 0 16 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen Xueqi Cheng 43 16 0 02 Feb 2023
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 45 31 0 31 Jan 2023
Node Injection for Class-specific Network Poisoning Ansh Sharma Rahul Kukreja Mayank Kharbanda Tanmoy Chakraborty AAML GNN 28 12 0 28 Jan 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion Qitian Wu Chenxiao Yang Wen-Long Zhao Yixuan He David Wipf Junchi Yan DiffM 32 83 0 23 Jan 2023
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 33 12 0 30 Nov 2022
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences Aosong Feng Irene Z Li Yuang Jiang Rex Ying 34 18 0 21 Oct 2022
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 38 24 0 21 Oct 2022
Adversarial Camouflage for Node Injection Attack on Graphs Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Liang Hou Fei Sun Xueqi Cheng AAML GNN 35 22 0 03 Aug 2022
Graph Representation Learning Beyond Node and Homophily You Li Bei Lin Binli Luo Ning Gui SSL 25 15 0 03 Mar 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited Mingguo He Zhewei Wei Ji-Rong Wen GNN 27 105 0 04 Feb 2022
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 27 3 0 29 Oct 2021
Single Node Injection Attack against Graph Neural Networks Shuchang Tao Qi Cao Huawei Shen Junjie Huang Yunfan Wu Xueqi Cheng AAML GNN 19 67 0 30 Aug 2021
Signed Bipartite Graph Neural Networks Junjie Huang Huawei Shen Qi Cao Shuchang Tao Xueqi Cheng 15 42 0 22 Aug 2021
Variational Graph Normalized Auto-Encoders S. Ahn Myoung-Ho Kim 30 72 0 18 Aug 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 44 215 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 19 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 34 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 21 1 0 13 Apr 2021
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction Hao Gao Yongqing Wang Shanshan Lyu Huawei Shen Xueqi Cheng 15 7 0 19 Mar 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 84 193 0 26 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 44 79 0 22 Feb 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 109 563 0 04 Jan 2021
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 23 12 0 30 Dec 2020
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction Junchen Ye Leilei Sun Bowen Du Yanjie Fu Hui Xiong GNN AI4TS 18 149 0 15 Dec 2020
DiffusionNet: Discretization Agnostic Learning on Surfaces Nicholas Sharp Souhaib Attaiki Keenan Crane M. Ovsjanikov 3DH 27 197 0 01 Dec 2020
Dirichlet Graph Variational Autoencoder Jia Li Tomas Yu Jiajin Li Honglei Zhang Kangfei Zhao Yu Rong Hong Cheng Junzhou Huang BDL 24 52 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 33 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 Jian Yang 35 3 0 19 Sep 2020
Decoupled Variational Embedding for Signed Directed Networks Xu Chen Jiangchao Yao Maosen Li Ya Zhang Yanfeng Wang 22 4 0 28 Aug 2020
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification Bingbing Xu Junjie Huang Liang Hou Huawei Shen Jinhua Gao Xueqi Cheng 11 41 0 27 Jul 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 31 14 0 18 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 31 1,275 0 10 Jun 2020