mlsanityData to 7 Oct 2026

Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings

arXiv 2101.03091 ↗First posted 8 Jan 2021cs.SI cs.AI cs.LGcited by 48

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Abstract (arXiv)

Proximity preserving and structural role-based node embeddings have become a prime workhorse of applied graph mining. Novel node embedding techniques are often tested on a restricted set of benchmark datasets. In this paper, we propose a new diverse social network dataset called Twitch Gamers with multiple potential target attributes. Our analysis of the social network and node classification experiments illustrate that Twitch Gamers is suitable for assessing the predictive performance of novel proximity preserving and structural role-based node embedding algorithms.

Key facts. Cited by 48 papers in the map (data through 7 Oct 2026). Builds on 13 of its 25 references that are in the map. First posted on arXiv 8 Jan 2021.

Builds on

13 of 25 references.

References · 13

  1. 2016node2vec: Scalable Feature Learning for Networkscited by 1,913
  2. 2014DeepWalk: Online Learning of Social Representationscited by 1,543
  3. 2015LINE: Large-scale Information Network Embeddingcited by 582
  4. 2019Multi-scale Attributed Node Embeddingcited by 543
  5. 2017Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2veccited by 197
  6. 2020Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Modelscited by 116
  7. 2017Learning Structural Node Embeddings Via Diffusion Waveletscited by 97
  8. 2018GEMSEC: Graph Embedding with Self Clusteringcited by 61
  9. 2017Attributed Social Network Embeddingcited by 34
  10. 2018Billion-scale Network Embedding with Iterative Random Projectioncited by 25
  11. 2020Little Ball of Fur: A Python Library for Graph Samplingcited by 15
  12. 2018Learning Role-based Graph Embeddingscited by 14
1 more
  1. 2020Fast Sequence-Based Embedding with Diffusion Graphscited by 14

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 11; 2023: 12; 2024: 10; 2025: 8; 2026: 5.

48 papers.

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  1. 2021Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methodscited by 309
  2. 2023Energy-based Out-of-Distribution Detection for Graph Neural Networkscited by 67
  3. 2022Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyondcited by 60
  4. 2023SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimizationcited by 35
  5. 2024Graph Out-of-Distribution Generalization via Causal Interventioncited by 30
  6. 2024GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Datacited by 20
  7. 2022Augmentation-Free Graph Contrastive Learning with Performance Guaranteecited by 16
  8. 2021Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performancecited by 15
  9. 2025GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generationcited by 15
  10. 2022Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graphcited by 14
  11. 2022Less is More: SlimG for Accurate, Robust, and Interpretable Graph Miningcited by 10
  12. 2022BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learningcited by 8
36 more
  1. 2022Deformable Graph Transformercited by 7
  2. 2023Mixture of Weak & Strong Experts on Graphscited by 7
  3. 2023Shape-aware Graph Spectral Learningcited by 6
  4. 2024Fair Submodular Covercited by 6
  5. 2024Provable Filter for Real-world Graph Clusteringcited by 5
  6. 2022Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarkscited by 4
  7. 2024Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modelingcited by 4
  8. 2024Higher-Order Causal Message Passing for Experimentation with Complex Interferencecited by 4
  9. 2025Improved Approximations for Hard Graph Problems using Predictionscited by 4
  10. 2023Node Injection Link Stealing Attackcited by 3
  11. 2023Graph Relation Aware Continual Learningcited by 3
  12. 2022Uplifting Message Passing Neural Network with Graph Original Informationcited by 2
  13. 2023Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignmentcited by 2
  14. 2023An Empirical Evaluation of Rewiring Approaches in Graph Neural Networkscited by 2
  15. 2023On the Validity of Conformal Prediction for Network Data Under Non-Uniform Samplingcited by 2
  16. 2024Learning Divergence Fields for Shift-Robust Graph Representationscited by 2
  17. 2025An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attackscited by 2
  18. 2022NetEffect: Discovery and Exploitation of Generalized Network Effectscited by 1
  19. 2023Unsupervised Framework for Evaluating and Explaining Structural Node Embeddings of Graphscited by 1
  20. 2023Predicting Properties of Nodes via Community-Aware Featurescited by 1
  21. 2024Privacy Preserving Reinforcement Learning for Population Processescited by 1
  22. 2025NodeReg: Mitigating the Imbalance and Distribution Shift Effects in Semi-Supervised Node Classification via Norm Consistencycited by 1
  23. 2025Adjusted Count Quantification Learning on Graphscited by 1
  24. 2026What Information Matters? Graph Out-of-Distribution Detection via Tri-Component Information Decompositioncited by 1
  25. 2022Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphscited by 0
  26. 2022From Cubes to Networks: Fast Generic Model for Synthetic Networks Generationcited by 0
  27. 2023Efficiently Visualizing Large Graphscited by 0
  28. 2024Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confoundingcited by 0
  29. 2024Domain Adaptive Unfolded Graph Neural Networkscited by 0
  30. 2025Attention Beyond Neighborhoods: Reviving Transformer for Graph Clusteringcited by 0
  31. 2025Large Scale Community-Aware Network Generationcited by 0
  32. 2025An Improved and Generalised Analysis for Spectral Clusteringcited by 0
  33. 2026EdgeMask-DG*: Learning Domain-Invariant Graph Structures via Adversarial Edge Maskingcited by 0
  34. 2026FairRARI: A Plug and Play Framework for Fairness-Aware PageRankcited by 0
  35. 2026ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networkscited by 0
  36. 2026FastGFDs: Efficient Validation of Graph Functional Dependencies with Desbordantecited by 0