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KDD 2023: all accepted papers

558 papers · page 4 of 6 · the most cited first · ← KDD 2023

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  1. Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining ↗Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar et al.9 citations
  2. LibAUC: A Deep Learning Library for X-Risk Optimization ↗Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu et al.9 citations
  3. Modeling Dual Period-Varying Preferences for Takeaway Recommendation ↗Yuting Zhang, Yiqing Wu, Ran Le et al.9 citations
  4. Multi-Temporal Relationship Inference in Urban Areas ↗Shuangli Li, Jingbo Zhou, Ji Liu et al.9 citations
  5. Off-Policy Evaluation of Ranking Policies under Diverse User Behavior ↗Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita et al.9 citations
  6. On Structural Expressive Power of Graph Transformers ↗Wenhao Zhu, Tianyu Wen, Guojie Song et al.9 citations
  7. On-device Integrated Re-ranking with Heterogeneous Behavior Modeling ↗Yunjia Xi, Weiwen Liu, Yang Wang et al.9 citations
  8. Online Fairness Auditing through Iterative Refinement ↗Pranav Maneriker, Codi Burley, Srinivasan Parthasarathy9 citations
  9. Reducing Exposure to Harmful Content via Graph Rewiring ↗Corinna Coupette, Stefan Neumann, Aristides Gionis9 citations
  10. Task-Equivariant Graph Few-shot Learning ↗Sungwon Kim, Junseok Lee, Namkyeong Lee et al.9 citations
  11. Unbiased Locally Private Estimator for Polynomials of Laplacian Variables ↗Quentin Hillebrand, Vorapong Suppakitpaisarn, Tetsuo Shibuya9 citations
  12. A Study of Situational Reasoning for Traffic Understanding ↗Jiarui Zhang, Filip Ilievski, Kaixin Ma et al.8 citations
  13. Accelerating Personalized PageRank Vector Computation ↗Zhen Chen, Xingzhi Guo, Baojian Zhou et al.8 citations
  14. An Empirical Study of Selection Bias in Pinterest Ads Retrieval ↗Yuan Wang, Peifeng Yin, Zhiqiang Tao et al.8 citations
  15. Automatic Music Playlist Generation via Simulation-based Reinforcement Learning ↗Federico Tomasi, Joseph Cauteruccio, Surya Kanoria et al.8 citations
  16. Discovering Dynamic Causal Space for DAG Structure Learning ↗Fangfu Liu, Wenchang Ma, An Zhang et al.8 citations
  17. Treatment Effect Estimation with Adjustment Feature Selection ↗Haotian Wang, Kun Kuang, Haoang Chi et al.8 citations
  18. AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases ↗Giridhar Ganapavarapu, Sumanta Mukherjee, Natalia Martinez Gil et al.7 citations
  19. CARL-G: Clustering-Accelerated Representation Learning on Graphs ↗William Shiao, Uday Singh Saini, Yozen Liu et al.7 citations
  20. Causal Inference via Style Transfer for Out-of-distribution Generalisation ↗Toan Quang Nguyen, Kien Do, Duc Thanh Nguyen et al.7 citations
  21. Deep Pipeline Embeddings for AutoML ↗Sebastian Pineda Arango, Josif Grabocka7 citations
  22. Efficient Approximation Algorithms for Spanning Centrality ↗Shiqi Zhang, Renchi Yang, Jing Tang et al.7 citations
  23. Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree ↗Delvin Ce Zhang, Rex Ying, Hady Wirawan Lauw7 citations
  24. QTNet: Theory-based Queue Length Prediction for Urban Traffic ↗Ryu Shirakami, Toshiya Kitahara, Koh Takeuchi et al.7 citations
  25. Deep Encoders with Auxiliary Parameters for Extreme Classification ↗Kunal Dahiya, Sachin Yadav, Sushant Sondhi et al.6 citations
  26. Graph and Geometry Generative Modeling for Drug Discovery ↗Minkai Xu, Meng Liu, Wengong Jin et al.6 citations
  27. LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias ↗Mario Almagro, Emilio Almazán, Diego Ortego et al.6 citations
  28. Learning Multivariate Hawkes Process via Graph Recurrent Neural Network ↗Kanghoon Yoon, Youngjun Im, J.J. Choi et al.6 citations
  29. MedLink: De-Identified Patient Health Record Linkage ↗Zhenbang Wu, Cao Xiao, Jimeng Sun6 citations
  30. Multi Datasource LTV User Representation (MDLUR) ↗Junwoo Yun, Wonryeol Kwak, Joohyun Kim6 citations
  31. PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation ↗Xuewu Jiao, Weibin Li, Xinxuan Wu et al.6 citations
  32. Querywise Fair Learning to Rank through Multi-Objective Optimization ↗Debabrata Mahapatra, Chaosheng Dong, Michinari Momma6 citations
  33. Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations ↗Tianxiang Zhao, Wenchao Yu, Suhang Wang et al.6 citations
  34. Taming the Domain Shift in Multi-source Learning for Energy Disaggregation ↗Xiaomin Chang, Wei Li, Yunchuan Shi et al.6 citations
  35. Training Large-scale Foundation Models on Emerging AI Chips ↗Aashiq Muhamed, Christian Bock, Rahul Solanki et al.6 citations
  36. XAI for Predictive Maintenance ↗João Manuel Portela da Gama, Sławomir Nowaczyk, Sepideh Pashami et al.6 citations
  37. Deep Bayesian Active Learning for Accelerating Stochastic Simulation ↗Dongxia Wu, Ruijia Niu, Matteo Chinazzi et al.5 citations
  38. Exploiting Intent Evolution in E-commercial Query Recommendation ↗Yu Wang, Zhengyang Wang, Hengrui Zhang et al.5 citations
  39. Extreme Multi-Label Classification for Ad Targeting using Factorization Machines ↗Martin Pavlovski, Srinath Ravindran, Djordje Gligorijevic et al.5 citations
  40. FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation ↗Yushan Jiang, Wenchao Yu, Dongjin Song et al.5 citations
  41. Minimizing Hitting Time between Disparate Groups with Shortcut Edges ↗Florian Adriaens, Honglian Wang, Aristides Gionis5 citations

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