struc2vec: Learning Node Representations from Structural Identity

11 April 2017

Papers citing "struc2vec: Learning Node Representations from Structural Identity"

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Title
Node2Vec-DGI-EL: A Hierarchical Graph Representation Learning Model for Ingredient-Disease Association Prediction Lefei Zhang Xin Dong Shuaibing Jia Jun Zhang 29 0 0 01 May 2025
GyralNet Subnetwork Partitioning via Differentiable Spectral Modularity Optimization Yan Zhuang Minheng Chen Chao-Yang Cao Tong Chen Jing Zhang Xiaowei Yu Yanjun Lyu Li Zhang Tianming Liu D. Zhu 44 0 0 25 Mar 2025
Unifying Structural Proximity and Equivalence for Enhanced Dynamic Network Embedding Suchanuch Piriyasatit Chaohao Yuan Ercan Engin Kuruoglu 50 0 0 14 Mar 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 82 3 0 24 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 76 2 0 14 Feb 2025
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs He Yu Jiaheng Liu 36 0 0 21 Jan 2025
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 53 2 0 25 Oct 2024
Simplifying complex machine learning by linearly separable network embedding spaces Alexandros Xenos N. Malod-Dognin Natasa Przulj 22 0 0 02 Oct 2024
Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery Hongsheng Wang Weiyue Zhang Sihao Liu Xinrui Zhou Jing Li Zhanyun Tang Shengyu Zhang Fei Wu Feng Lin 48 3 0 21 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 6 0 22 Apr 2024
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics Yile Chen Xiucheng Li Gao Cong Zhifeng Bao Cheng Long 21 2 0 18 Mar 2024
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN SSL 32 2 0 06 Mar 2024
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 33 14 0 02 Nov 2023
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices Jing Zhu Yuhang Zhou V. Ioannidis Sheng Qian Wei Ai Xiang Song Danai Koutra 25 9 0 01 Jun 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 25 6 0 15 Apr 2023
Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering Lukasz Brzozowski Grzegorz Siudem M. Gagolewski 38 1 0 21 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
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings Ryan Aponte Ryan A. Rossi Shunan Guo Jane Hoffswell Nedim Lipka Chang Xiao G. Chan E. Koh Nesreen Ahmed GNN 33 11 0 28 Dec 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization Yandi Li Haobo Gao Yunxuan Gao Jianxiong Guo Weili Wu 27 38 0 06 Nov 2022
Relating graph auto-encoders to linear models Solveig Klepper U. V. Luxburg 23 1 0 03 Nov 2022
Towards Real-Time Temporal Graph Learning Deniz Gurevin Mohsin Shan Tong Geng Weiwen Jiang Caiwen Ding O. Khan AI4TS AI4CE 43 0 0 08 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin Jinghui Chen Hongning Wang OOD 32 48 0 02 Oct 2022
Model Inversion Attacks against Graph Neural Networks Zaixin Zhang Qi Liu Zhenya Huang Hao Wang Cheekong Lee Enhong AAML 23 35 0 16 Sep 2022
Hub-aware Random Walk Graph Embedding Methods for Classification Aleksandar Tomcic Miloš Savić Miloš Radovanović 16 2 0 15 Sep 2022
Local Intrinsic Dimensionality Measures for Graphs, with Applications to Graph Embeddings Milovs Savić V. Kurbalija Milovs Radovanović 15 1 0 25 Aug 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 30 21 0 03 Aug 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications Xingbo Fu Binchi Zhang Yushun Dong Chen Chen Jundong Li FedML OOD AI4CE 36 35 0 24 Jul 2022
Transforming PageRank into an Infinite-Depth Graph Neural Network Andreas Roth Thomas Liebig GNN 34 14 0 01 Jul 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 41 55 0 18 Feb 2022
Graph Masked Autoencoders with Transformers Sixiao Zhang Hongxu Chen Haoran Yang Xiangguo Sun Philip S. Yu Guandong Xu 21 18 0 17 Feb 2022
MarkovGNN: Graph Neural Networks on Markov Diffusion Md. Khaledur Rahman Abhigya Agrawal A. Azad GNN BDL 29 2 0 05 Feb 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 24 0 0 30 Jan 2022
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks X. Guo Pengfei Jiao Ting Pan Wang Zhang Mengyu Jia Danyang Shi Wenjun Wang 27 1 0 18 Jan 2022
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction Amur Ghose Vincent Zhang Yingxue Zhang Dong Li Wulong Liu Mark J. Coates 40 26 0 10 Nov 2021
Inferential SIR-GN: Scalable Graph Representation Learning Janet Layne Edoardo Serra GNN 15 9 0 08 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 25 3 0 29 Oct 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 23 19 0 28 Oct 2021
Role Similarity Metric Based on Spanning Rooted Forest Qi Bao Zhongzhi Zhang Haibin Kan 24 0 0 15 Oct 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 24 34 0 03 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 42 22 0 20 Sep 2021
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks Jieming Zhou Tong Zhang Pengfei Fang L. Petersson Mehrtash Harandi GNN 25 1 0 20 Sep 2021
Embedding Node Structural Role Identity Using Stress Majorization Lili Wang Chenghan Huang Weicheng Ma Ying Lu Soroush Vosoughi 10 4 0 14 Sep 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 36 84 0 26 Aug 2021
Deep Contrastive Multiview Network Embedding Mengqi Zhang Yanqiao Zhu Qiang Liu Shu Wu Liang Wang 30 1 0 16 Aug 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks Yushun Dong Ninghao Liu B. Jalaeian Jundong Li 31 117 0 11 Aug 2021
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks R. A. Khan M. Kleinsteuber 27 3 0 09 Aug 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering Nairouz Mrabah Mohamed Bouguessa M. Touati Riadh Ksantini 35 62 0 19 Jul 2021
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs Hejie Cui Zijie Lu Pan Li Carl Yang 15 80 0 03 Jul 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 32 131 0 11 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 19 0 0 07 Jun 2021