{"total":58,"rows":[{"id":"2101.03091","title":"Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings","created":"2021-01-08","cited_by_count":49,"area":null},{"id":"2211.12875","title":"A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource","created":"2022-11-23","cited_by_count":26,"area":null},{"id":"2110.07582","title":"Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding","created":"2021-10-14","cited_by_count":19,"area":null},{"id":"2201.04066","title":"VGAER: Graph Neural Network Reconstruction based Community Detection","created":"2022-01-08","cited_by_count":14,"area":null},{"id":"2209.03880","title":"Learning Sparse Graphon Mean Field Games","created":"2022-09-08","cited_by_count":14,"area":null},{"id":"2102.04152","title":"EigenGame Unloaded: When playing games is better than optimizing","created":"2021-02-08","cited_by_count":13,"area":null},{"id":"2309.11798","title":"A Comprehensive Review of Community Detection in Graphs","created":"2023-09-21","cited_by_count":12,"area":null},{"id":"2406.10310","title":"TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs","created":"2024-06-14","cited_by_count":9,"area":null},{"id":"2211.14568","title":"BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning","created":"2022-11-26","cited_by_count":8,"area":null},{"id":"2310.01162","title":"DINE: Dimensional Interpretability of Node Embeddings","created":"2023-10-02","cited_by_count":8,"area":null},{"id":"2302.09755","title":"Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification","created":"2023-02-20","cited_by_count":7,"area":null},{"id":"2306.05304","title":"Bayesian Optimisation of Functions on Graphs","created":"2023-06-08","cited_by_count":7,"area":null},{"id":"2306.09950","title":"Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs","created":"2023-06-16","cited_by_count":7,"area":null},{"id":"2204.03919","title":"Network Shuffling: Privacy Amplification via Random Walks","created":"2022-04-08","cited_by_count":6,"area":null},{"id":"2209.04562","title":"Bayan Algorithm: Detecting Communities in Networks Through Exact and Approximate Optimization of Modularity","created":"2022-09-10","cited_by_count":5,"area":null},{"id":"2212.07843","title":"Realistic Synthetic Social Networks with Graph Neural Networks","created":"2022-12-15","cited_by_count":5,"area":null},{"id":"2304.09512","title":"Community Detection Using Revised Medoid-Shift Based on KNN","created":"2023-04-19","cited_by_count":5,"area":null},{"id":"2106.00717","title":"Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks","created":"2021-06-01","cited_by_count":4,"area":null},{"id":"2106.05057","title":"Multiple Kernel Representation Learning on Networks","created":"2021-06-09","cited_by_count":3,"area":null},{"id":"2112.10372","title":"A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods","created":"2021-12-20","cited_by_count":2,"area":null},{"id":"2203.03151","title":"Fast Community Detection based on Graph Autoencoder Reconstruction","created":"2022-03-07","cited_by_count":2,"area":null},{"id":"2301.08918","title":"Improving Signed Propagation for Graph Neural Networks in Multi-Class Environments","created":"2023-01-21","cited_by_count":2,"area":null},{"id":"2303.17475","title":"Learning distributed representations with efficient SoftMax normalization","created":"2023-03-30","cited_by_count":2,"area":null},{"id":"2506.04765","title":"OpenGT: A Comprehensive Benchmark For Graph Transformers","created":"2025-06-05","cited_by_count":2,"area":null},{"id":"2508.00357","title":"Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization","created":"2025-08-01","cited_by_count":2,"area":null},{"id":"2603.17569","title":"Gaussian Process Limit Reveals Structural Benefits of Graph Transformers","created":"2026-03-18","cited_by_count":2,"area":null},{"id":"2104.00088","title":"Transfer Learning for Node Regression Applied to Spreading Prediction","created":"2021-03-31","cited_by_count":1,"area":null},{"id":"2108.03953","title":"A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks","created":"2021-08-09","cited_by_count":1,"area":null},{"id":"2110.11335","title":"Convex Joint Graph Matching and Clustering via Semidefinite Relaxations","created":"2021-10-21","cited_by_count":1,"area":null},{"id":"2204.06250","title":"Large-scale multi-objective influence maximisation with network downscaling","created":"2022-04-13","cited_by_count":1,"area":null},{"id":"2306.13541","title":"Torsion Graph Neural Networks","created":"2023-06-23","cited_by_count":1,"area":null},{"id":"2403.17500","title":"Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification","created":"2024-03-26","cited_by_count":1,"area":null},{"id":"2410.21043","title":"Disentangled and Self-Explainable Node Representation Learning","created":"2024-10-28","cited_by_count":1,"area":null},{"id":"2504.19820","title":"Hierarchical Uncertainty-Aware Graph Neural Network","created":"2025-04-28","cited_by_count":1,"area":null},{"id":"2509.23411","title":"Hybrid Graph Embeddings and Louvain Algorithm for Unsupervised Community Detection","created":"2025-09-27","cited_by_count":1,"area":null},{"id":"2511.16062","title":"Gauge-Equivariant Graph Networks via Self-Interference Cancellation","created":"2025-11-20","cited_by_count":1,"area":null},{"id":"2604.07492","title":"Cluster Attention for Graph Machine Learning","created":"2026-04-08","cited_by_count":1,"area":null},{"id":"2101.03885","title":"Variational Embeddings for Community Detection and Node Representation","created":"2021-01-11","cited_by_count":0,"area":null},{"id":"2107.02071","title":"fMBN-E: Efficient Unsupervised Network Structure Ensemble and Selection for Clustering","created":"2021-07-05","cited_by_count":0,"area":null},{"id":"2111.05576","title":"Topic-aware latent models for representation learning on networks","created":"2021-11-10","cited_by_count":0,"area":null},{"id":"2207.05301","title":"Edge Augmentation on Disconnected Graphs via Eigenvalue Elevation","created":"2022-07-12","cited_by_count":0,"area":null},{"id":"2211.06331","title":"MGTCOM: Community Detection in Multimodal Graphs","created":"2022-11-10","cited_by_count":0,"area":null},{"id":"2211.15081","title":"Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation","created":"2022-11-28","cited_by_count":0,"area":null},{"id":"2306.14357","title":"PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks","created":"2023-06-25","cited_by_count":0,"area":null},{"id":"2405.14079","title":"Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network","created":"2024-05-23","cited_by_count":0,"area":null},{"id":"2405.20808","title":"Optimally Improving Cooperative Learning in a Social Setting","created":"2024-05-31","cited_by_count":0,"area":null},{"id":"2408.04895","title":"Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks","created":"2024-08-09","cited_by_count":0,"area":null},{"id":"2411.01371","title":"Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding","created":"2024-11-02","cited_by_count":0,"area":null},{"id":"2503.13911","title":"Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning","created":"2025-03-18","cited_by_count":0,"area":null},{"id":"2504.08216","title":"Landmark-Based Node Representations for Shortest Path Distance Approximations in Random Graphs","created":"2025-04-11","cited_by_count":0,"area":null},{"id":"2504.11621","title":"Robust Markov stability for community detection at a scale learned based on the structure","created":"2025-04-15","cited_by_count":0,"area":null},{"id":"2505.08320","title":"Adaptive Branch Specialization in Spectral-Spatial Graph Neural Networks for Certified Robustness","created":"2025-05-13","cited_by_count":0,"area":null},{"id":"2506.16661","title":"Private Training & Data Generation by Clustering Embeddings","created":"2025-06-20","cited_by_count":0,"area":null},{"id":"2509.09045","title":"The Role of Community Detection Methods in Performance Variations of Graph Mining Tasks","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2511.19717","title":"Large Scale Community-Aware Network Generation","created":"2025-11-24","cited_by_count":0,"area":null},{"id":"2511.23261","title":"An Improved and Generalised Analysis for Spectral Clustering","created":"2025-11-28","cited_by_count":0,"area":null},{"id":"2512.03095","title":"Community Quality and Influence Maximization: An Empirical Study","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2602.02268","title":"HopFormer: Sparse Graph Transformers with Explicit Receptive Field Control","created":"2026-02-02","cited_by_count":0,"area":null}],"next_cursor":null}