Graph Learning: A Survey

3 May 2021

Huan Liu

Papers citing "Graph Learning: A Survey"

41 / 41 papers shown

Title
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Seongjin Choi Gahee Kim Yong-Geun Oh 26 0 0 09 May 2025
Graph Drawing for LLMs: An Empirical Evaluation Walter Didimo Fabrizio Montecchiani Tommaso Piselli 49 0 0 06 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines Olaya Álvarez-Tunón Yury Brodskiy Erdal Kayacan 73 6 0 04 Mar 2025
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy Ruizhan Xue Huimin Deng Fang He Maojun Wang Zeyu Zhang 68 1 0 12 Feb 2025
Mask-informed Deep Contrastive Incomplete Multi-view Clustering Zhenglai Li Yuqi Shi Xiao He Chang-Fu Tang 79 0 0 04 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 91 19 0 28 Jan 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
UMMAN: Unsupervised Multi-graph Merge Adversarial Network for Disease Prediction Based on Intestinal Flora Dingkun Liu Hongjie Zhou Yilu Qu Huimei Zhang Yongdong Xu AI4CE 21 0 0 31 Jul 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang Yixin Liu Xu Shen Chenyu Li Kaize Ding Rui Miao Ying Wang Shirui Pan Xin Wang 42 8 0 21 Jun 2024
Higher-order Structure Based Anomaly Detection on Attributed Networks Xu Yuan Na Zhou Shuo Yu Huafei Huang Zhikui Chen Feng Xia 19 42 0 07 Jun 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 47 5 0 09 Feb 2024
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach Xin Chen Mingliang Hou Tao Tang Achhardeep Kaur Feng Xia 37 7 0 06 Feb 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 39 9 0 22 Jan 2024
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules Emanuele Cavalleri Alberto Cabri Mauricio Soto Gomez Sara Bonfitto P. Perlasca ... Justin P Reese Peter N. Robinson E. Casiraghi Giorgio Valentini M. Mesiti 19 2 0 30 Nov 2023
AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine Jie Lian Xufang Luo Caihua Shan Dongqi Han V. Vardhanabhuti Dongsheng Li 26 0 0 24 Nov 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
Topological Pooling on Graphs Yuzhou Chen Yulia R. Gel 25 10 0 25 Mar 2023
Knowledge Graphs: Opportunities and Challenges Ciyuan Peng Feng Xia Mehdi Naseriparsa Francesco Osborne 22 240 0 24 Mar 2023
A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges Xuansheng Wu Kaixiong Zhou Mingchen Sun Xin Wang Ninghao Liu 56 12 0 13 Mar 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 24 8 0 16 Feb 2023
Quantum Graph Learning: Frontiers and Outlook Shuo Yu Ciyuan Peng Yingbo Wang Ahsan Shehzad Feng Xia Edwin R. Hancock AI4CE 27 5 0 02 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
Graph Anomaly Detection in Time Series: A Survey Thi Kieu Khanh Ho Ali Karami Narges Armanfard AI4TS 26 5 0 31 Jan 2023
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 24 14 0 28 Jan 2023
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal K. Liang Lingyuan Meng Meng Liu Yue Liu Wenxuan Tu Siwei Wang Sihang Zhou Xinwang Liu Fu Sun LRM 26 108 0 12 Dec 2022
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges Jing Ren Feng Xia Azadeh Noori Hoshyar Charu C. Aggarwal 42 26 0 11 Dec 2022
Quality-diversity in dissimilarity spaces Steve Huntsman 22 1 0 14 Nov 2022
From Spectral Graph Convolutions to Large Scale Graph Convolutional Networks Matteo Bunino SSL GNN 21 1 0 12 Jul 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 40 96 0 29 Mar 2022
Deep Graph Learning for Anomalous Citation Detection Jiaying Liu Feng Xia Xu Feng Jing Ren Huan Liu 24 41 0 23 Feb 2022
Web of Scholars: A Scholar Knowledge Graph Jiaying Liu Jing Ren Wenqing Zheng Lianhua Chi Ivan Lee Feng Xia GNN 16 45 0 23 Feb 2022
Graph Lifelong Learning: A Survey F. Febrinanto Feng Xia Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 37 51 0 22 Feb 2022
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework Xiangjie Kong Kailai Wang Mingliang Hou Feng Xia G. Karmakar Jianxin Li AI4TS 6 43 0 17 Feb 2022
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs Feng Xia Lei Wang Tao Tang Xin Chen Xiangjie Kong G. Oatley Irwin King GNN 31 32 0 16 Feb 2022
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming Yizhen Zheng Ming Jin Shirui Pan Yuan-Fang Li Hao Peng Ming Li Zhao‐Rui Li SSL 30 24 0 20 Nov 2021
Anomaly Detection in Dynamic Graphs via Transformer Yixin Liu Shirui Pan Yu Guang Wang Fei Xiong Liang Wang Qingfeng Chen V. C. Lee 31 91 0 18 Jun 2021
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 181 1,940 0 02 Feb 2020
Graduate Employment Prediction with Bias Teng Guo Feng Xia Shi Zhen Xiaomei Bai Dongyu Zhang Zitao Liu Jiliang Tang 40 26 0 27 Dec 2019
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 280 1,400 0 01 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016