December 2021, Volume 23, Issue 2

December 2021, Volume 23, Issue 2

  • An Interview with Dr. Shipeng Yu, Winner of ACM SIGKDD 2021 Service Award [1]
  • Surf or Sleep? Understanding the Influence of Bedtime Patterns on Campus [3]
  • Meta-Learning with Graph Neural Networks: Methods and Applications [13]

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June 2021, Volume 23, Issue 1

June 2021, Volume 23, Issue 1

  • Introduction to the Special Section on Bias and Fairness in AI [1]
  • Two Kinds of Discrimination in AI-Based Penal Decision-Making [4]
  • On the Applicability of Machine Learning Fairness Notions [14]
  • Gendering algorithms in social media [24]
  • Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning [32]
  • Blind Spots in AI: the Role of Serendipity and Equity in Algorithm-Based Decision-Making [42]
  • Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics [50]
  • Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation [59]
  • An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings [69]
  • Adversarial Attacks and Defenses: An Interpretation Perspective [86]

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December 2020, Volume 22, Issue 2

December 2020, Volume 22, Issue 2

  • A Message from KDD 2020 General Chairs: KDD 2020 Highlights [1]
  • An Interview with Dr. Thorsten Joachims, Winner of ACM SIGKDD 2020 Innovation Award [2]
  • An Interview with Dr. Michael Zeller, Winner of ACM SIGKDD 2020 Service Award [6]
  • A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019 [8]
  • Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation: [12]
  • Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies [19]
  • Techniques for Automated Machine Learning [35]

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June 2020, Volume 22, Issue 1

June 2020, Volume 22, Issue 1

  • An Interview with Dr. Charu Aggarwal, SIGKDD Innovation Award Winner [1]
  • Data Science for Earth: An Earth Day Report [4]
  • The KDD Cup 2019 Report [8]
  • Causal Interpretability for Machine Learning - Problems, Methods and Evaluation [18]

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December 2019, Volume 21, Issue 2

December 2019, Volume 21, Issue 2

  • An Interview with Dr. Balaji Krishnapuram, Winner of SIGKDD Service Award [1]
  • Solve for Good: A Data Science for Social Good Marketplace [3]
  • Machine Learning for Streaming Data: State of the Art, Challenges, and Opportunities [6]
  • Gene Expression and Protein Function: A Survey of Deep Learning Methods [23]
  • The Holy Grail of “Systems for Machine Learning”: Teaming Humans and Machine Learning for Detecting Cyber Threats [39]
  • Network-based Fake News Detection: A Pattern-driven Approach [48]
  • A Survey of Multi-Label Topic Models [61]
  • Misinformation in Social Media: Definition, Manipulation, and Detection [80]
  • Tracking and Analyzing Dynamics of News-cycles during Global Pandemics: A Historical Perspective [91]

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