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Deep Learning on Graphs: A Survey

11 December 2018

Peng Cui

Papers citing "Deep Learning on Graphs: A Survey"

50 / 378 papers shown

Title
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets Yuzhou Chen Tian Jiang M. Heleno Alexandre Moreira Yulia R. Gel GNN AI4CE 59 3 0 14 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks Haiyang Lin Yurui Lai Xiaochun Ye Xiaochun Ye Shirui Pan Wenguang Chen Yuan Xie GNN 115 27 0 10 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 88 5 0 07 Nov 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization Yandi Li Haobo Gao Yunxuan Gao Jianxiong Guo Weili Wu 129 40 0 06 Nov 2022
A survey on the development status and application prospects of knowledge graph in smart grids Jian Wang Xi Wang Chaoqun Ma Lei Kou 50 74 0 02 Nov 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Tengjiao Wang Lei Chen GNN AI4CE 127 65 0 01 Nov 2022
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers Liekang Zeng Chong Yang Peng Huang Zhi Zhou Shuai Yu Xu Chen GNN 95 29 0 31 Oct 2022
GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections Junyuan Fang Haixian Wen Jiajing Wu Qi Xuan Zibin Zheng Chi K. Tse AAML 101 22 0 23 Oct 2022
Deep Learning in Single-Cell Analysis Dylan Molho Jiayuan Ding Zhaoheng Li Haifang Wen Wenzhuo Tang ... P. Danaher Robert Yang Y. Lei Yuying Xie Jiliang Tang 101 23 0 22 Oct 2022
Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation Tien-Cuong Bui Van-Duc Le Wen-Syan Li S. Cha 65 3 0 20 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh Chawla Neil Shah Tong Zhao 118 43 0 11 Oct 2022
PiFold: Toward effective and efficient protein inverse folding Zhangyang Gao Cheng Tan Pablo Chacón Stan Z. Li AI4CE 168 114 0 22 Sep 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 96 9 0 20 Sep 2022
Model Inversion Attacks against Graph Neural Networks Zaixin Zhang Qi Liu Zhenya Huang Hao Wang Cheekong Lee Enhong AAML 76 37 0 16 Sep 2022
On the Robustness of Graph Neural Diffusion to Topology Perturbations Yang Song Qiyu Kang Sijie Wang Zhao Kai Wee Peng Tay DiffM AAML 112 37 0 16 Sep 2022
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations Maciej Besta Cesare Miglioli P. S. Labini Jakub Tvetek Patrick Iff ... Grzegorz Kwa'sniewski Niels Gleinig Flavio Vella O. Mutlu Torsten Hoefler 130 8 0 24 Aug 2022
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching Yeonhong Park Sunhong Min Jae W. Lee GNN 62 38 0 19 Aug 2022
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing Qingyun Sun Jianxin Li Haonan Yuan Xingcheng Fu Hao Peng Cheng Ji Qian Li Philip S. Yu 79 40 0 17 Aug 2022
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification Xin Eric Wang Heng Chang Beini Xie Tian Bian Shiji Zhou Daixin Wang Qing Cui Wenwu Zhu AAML 84 10 0 13 Aug 2022
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding Sarmad N. Mohammed Semra Gunducc 77 1 0 07 Aug 2022
Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy Md. Khaledur Rahman A. Azad GNN 87 7 0 06 Aug 2022
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce Borui Ye Shuo Yang Binbin Hu Qing Cui Youqiang He Kai Huang Jun Zhou Yanming Fang 73 5 0 27 Jul 2022
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN Kuan Li Yang Liu Xiang Ao Jianfeng Chi Jinghua Feng Hao Yang Qing He AAML 107 66 0 30 Jun 2022
Generalized Permutants and Graph GENEOs Faraz Ahmad M. Ferri Patrizio Frosini 69 4 0 29 Jun 2022
Task-Adaptive Few-shot Node Classification Song Wang Kaize Ding Chuxu Zhang Chen Chen Jundong Li OffRL 98 51 0 23 Jun 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 95 21 0 18 Jun 2022
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images Yiqing Shen Bingxin Zhou Xinye Xiong Ruitian Gao Yu Guang Wang GNN MedIm 71 6 0 15 Jun 2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions Sheng Zhou Hongjia Xu Zhuonan Zheng Jiawei Chen Zhao Li Jiajun Bu Jia Wu Xin Eric Wang Wenwu Zhu Martin Ester 99 103 0 15 Jun 2022
CLNode: Curriculum Learning for Node Classification Xiaowen Wei Xiuwen Gong Yibing Zhan Bo Du Yong Luo Wenbin Hu 83 29 0 15 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective Zepeng Zhang Ziping Zhao AI4CE 71 4 0 09 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 82 43 0 09 Jun 2022
Graph Rationalization with Environment-based Augmentations Gang Liu Tong Zhao Jiaxi Xu Te Luo Meng Jiang OOD 100 85 0 06 Jun 2022
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification Le Yu Leilei Sun Bowen Du T. Zhu Weifeng Lv 80 16 0 31 May 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Hongzhi Zhang Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 100 0 0 31 May 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 59 3 0 30 May 2022
Faster Optimization on Sparse Graphs via Neural Reparametrization Nima Dehmamy C. Both J. Long Rose Yu 56 1 0 26 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 111 57 0 19 May 2022
Are Graph Representation Learning Methods Robust to Graph Sparsity and Asymmetric Node Information? P. Sevestre M. Neyret 64 0 0 19 May 2022
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation Zhiqiang Zhong Sergey Ivanov Jun Pang 61 9 0 19 May 2022
A Simple Yet Effective SVD-GCN for Directed Graphs Chunya Zou Andi Han Lequan Lin Junbin Gao GNN 102 7 0 19 May 2022
Using Embeddings for Causal Estimation of Peer Influence in Social Networks Irina Cristali Victor Veitch CML 64 12 0 17 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 139 110 0 16 May 2022
Graph Neural Network based Agent in Google Research Football Yizhan Niu Jinglong Liu Yuhao Shi Jiren Zhu GNN 77 2 0 23 Apr 2022
Detecting Topology Attacks against Graph Neural Networks Senrong Xu Yuan Yao Liangyue Li Wei Yang F. Xu Hanghang Tong 84 3 0 21 Apr 2022
GUARD: Graph Universal Adversarial Defense Jintang Li Jie Liao Ruofan Wu Liang Chen Zibin Zheng Jiawang Dan Changhua Meng Weiqiang Wang AAML 76 8 0 20 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 96 38 0 13 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey J. M. Thomas Alice Moallemy-Oureh Silvia Beddar-Wiesing Clara Holzhuter 137 31 0 06 Apr 2022
Modern Views of Machine Learning for Precision Psychiatry Z. Chen Prathamesh Kulkarni Kulkarni I. Galatzer-Levy Benedetta Bigio C. Nasca Yu Zhang 76 103 0 04 Apr 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation Hao Chen Zhong Huang Yue Xu Zengde Deng Feiran Huang Peng He Zhoujun Li GNN 53 52 0 30 Mar 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 93 107 0 29 Mar 2022