All Stories

  1. Causality Guided Disentanglement for Cross-Platform Hate Speech Detection
  2. Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification
  3. Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach
  4. STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction
  5. A Two-tier Shared Embedding Method for Review-based Recommender Systems
  6. HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer
  7. GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
  8. Causal Disentanglement for Implicit Recommendations with Network Information
  9. Data Augmentation for Deep Graph Learning
  10. Toward Graph Minimally-Supervised Learning
  11. The KDD 2022 Workshop on Causal Discovery (CD2022)
  12. Bias Mitigation for Toxicity Detection via Sequential Decisions
  13. CausalSE: Understanding Varied Spatial Effects with Missing Data Towards Adding New Bike-sharing Stations
  14. Domain Adaptive Fake News Detection via Reinforcement Learning
  15. “This is Fake! Shared it by Mistake”:Assessing the Intent of Fake News Spreaders
  16. Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies
  17. Causal Mediation Analysis with Hidden Confounders
  18. Graph Minimally-supervised Learning
  19. Graph Few-shot Class-incremental Learning
  20. Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning
  21. CauseBox
  22. Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors
  23. The KDD 2021 Workshop on Causal Discovery (CD2021)
  24. Causal Understanding of Fake News Dissemination on Social Media
  25. Adversarial Attacks and Defenses
  26. Few-shot Network Anomaly Detection via Cross-network Meta-learning
  27. Improving Cyberbullying Detection with User Interaction
  28. Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks
  29. Long-Term Effect Estimation with Surrogate Representation
  30. Graph Prototypical Networks for Few-shot Learning on Attributed Networks
  31. Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model
  32. The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020)
  33. A Survey of Learning Causality with Data
  34. Debiasing Grid-based Product Search in E-commerce
  35. Next-item Recommendation with Sequential Hypergraphs
  36. Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection
  37. Causal Interpretability for Machine Learning - Problems, Methods and Evaluation
  38. A Survey on Privacy in Social Media
  39. Social Science–guided Feature Engineering
  40. #suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter
  41. Beyond word2vec
  42. dEFEND
  43. BigScholar 2019: The 6th Workshop on Big Scholarly Data
  44. dEFEND
  45. Adaptive Unsupervised Feature Selection on Attributed Networks
  46. Learning From Networks
  47. Fake News Research
  48. Debunking Rumors in Social Networks
  49. Signed Link Prediction with Sparse Data: The Role of Personality Information
  50. Robust Cyberbullying Detection with Causal Interpretation
  51. Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items
  52. Fake News
  53. XBully
  54. Protecting User Privacy
  55. Beyond News Contents
  56. Random-Forest-Inspired Neural Networks
  57. Towards Explainable Networked Prediction
  58. Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation
  59. "Bridge"
  60. Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
  61. Exploiting Multilabel Information for Noise-Resilient Feature Selection
  62. Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection
  63. Securing Social Media User Data
  64. Identifying Framing Bias in Online News
  65. Turning Clicks into Purchases
  66. Understanding and Identifying Rhetorical Questions in Social Media
  67. CrossFire
  68. Streaming Link Prediction on Dynamic Attributed Networks
  69. Leveraging Implicit Contribution Amounts to Facilitate Microfinancing Requests
  70. Tracing Fake-News Footprints
  71. Feature Selection
  72. Understanding and Predicting Delay in Reciprocal Relations
  73. Attributed Network Embedding for Learning in a Dynamic Environment
  74. Attributed Signed Network Embedding
  75. Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods
  76. Unsupervised Feature Selection in Signed Social Networks
  77. What Your Images Reveal
  78. A Survey of Signed Network Mining in Social Media
  79. Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection
  80. Paired Restricted Boltzmann Machine for Linked Data
  81. Linked Document Embedding for Classification
  82. Replacing Mechanical Turkers? Challenges in the Evaluation of Models with Semantic Properties
  83. Recommendations in Signed Social Networks
  84. Relational Learning with Social Status Analysis
  85. Understanding and Identifying Advocates for Political Campaigns on Social Media
  86. Toward Dual Roles of Users in Recommender Systems
  87. 10 Bits of Surprise
  88. Unsupervised Streaming Feature Selection in Social Media
  89. The Fragility of Twitter Social Networks Against Suspended Users
  90. Finding the Right Social Media Site for Questions
  91. Exploring a Scalable Solution to Identifying Events in Noisy Twitter Streams
  92. Evaluation without ground truth in social media research
  93. Text, Topics, and Turkers
  94. Surpassing the Limit
  95. When is it biased?
  96. Understanding Twitter data with TweetXplorer
  97. A tool for collecting provenance data in social media
  98. Exploiting homophily effect for trust prediction
  99. Exploiting social relations for sentiment analysis in microblogging
  100. Mining Social Media: A Brief Introduction