Theoretically Improving Graph Neural Networks via Anonymous Walk Graph
Kernels

Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels

7 April 2021

Papers citing "Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels"

18 / 18 papers shown

Title
Towards Graph Prompt Learning: A Survey and Beyond Qingqing Long Yuchen Yan Peiyan Zhang Chen Fang Wentao Cui ... Shiyue Jiang Zheng Fang Chong Chen Xian-Sheng Hua Yuanchun Zhou AI4CE 39 0 0 26 Aug 2024
BioRAG: A RAG-LLM Framework for Biological Question Reasoning Chengrui Wang Qingqing Long Meng Xiao Xunxin Cai Chengjun Wu Zhen Meng Xuezhi Wang Yuanchun Zhou 44 26 0 02 Aug 2024
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning Bowen Zhang Zhichao Huang Genan Dai Guangning Xu Xiaomao Fan Hu Huang 36 0 0 02 Jul 2024
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective De Li Xianxian Li Zeming Gan Qiyu Li Bin Qu Jinyan Wang NoLa 48 1 0 11 Jun 2024
Towards Graph Contrastive Learning: A Survey and Beyond Wei Ju Yifan Wang Yifang Qin Zhengyan Mao Zhiping Xiao ... Dongjie Wang Qingqing Long Siyu Yi Xiao Luo Ming Zhang 59 12 0 20 May 2024
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective Yuchen Yan Peiyan Zhang Zheng Fang Qingqing Long AI4CE 31 13 0 21 Feb 2024
Descriptive Kernel Convolution Network with Improved Random Walk Kernel Meng-Chieh Lee Lingxiao Zhao L. Akoglu 23 3 0 08 Feb 2024
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations Qingqing Long Zheng Fang Chen Fang Chong Chen Pengfei Wang Yuanchun Zhou AI4TS 27 12 0 02 Feb 2024
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification Nan Yin Libin Shen Mengzhu Wang L. Lan Zeyu Ma C. L. Philip Chen Xiansheng Hua Xiao Luo 33 43 0 08 Jun 2023
TGNN: A Joint Semi-supervised Framework for Graph-level Classification Wei Ju Xiao Luo Meng Qu Yifan Wang C. L. Philip Chen Minghua Deng Xiansheng Hua Ming Zhang 21 34 0 23 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 51 141 0 11 Apr 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Jia Wu Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio' GNN AI4CE 35 10 0 14 Jan 2023
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 43 0 0 31 May 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 27 108 0 04 Apr 2022
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks X. Guo Pengfei Jiao Ting Pan Wang Zhang Mengyu Jia Danyang Shi Wenjun Wang 19 1 0 18 Jan 2022
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting Zheng Fang Qingqing Long Guojie Song Kunqing Xie AI4TS 17 455 0 24 Jun 2021
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 184 172 0 09 Mar 2020
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs Lu Bai Lixin Cui Edwin R. Hancock 25 8 0 08 Feb 2020