Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining
Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos
KDD 2023 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Decision breakdown
496papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled496100.0%
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TitleTypeTopic
Learning-Based Ad Auction Design with Externalities: The Framework and a Matching-Based Approach
Ningyuan Li, Yunxuan Ma, Yang Zhao, Zhijian Duan, Yurong Chen, Zhilin Zhang, Jian Xu, Bo Zheng, Xiaotie Deng
Learning to Solve Grouped 2D Bin Packing Problems in the Manufacturing Industry
Wenxuan Ao, Yong Li, Depeng Jin
Learning to Schedule in Diffusion Probabilistic Models
Yunke Wang, Xiyu Wang, Anh-Dung Dinh, Bo Du, Charles Xu
Learning to Relate to Previous Turns in Conversational Search
Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu
Learning to Discover Various Simpson’s Paradoxes
Jingwei Wang, Jianshan He, Weidi Xu, Ruopeng Li, Wei Chu
Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection
Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
Learning for Counterfactual Fairness from Observational Data
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
Learning Strong Graph Neural Networks with Weak Information
Yixin Liu, Kaize Ding, Jianling Wang, Vincent Lee, Huan Liu, Shirui Pan
Learning Slow and Fast System Dynamics via Automatic Separation of Time Scales
Ruikun Li, Huandong Wang, Yong Li
Learning Multivariate Hawkes Process via Graph Recurrent Neural Network
Kanghoon Yoon, Youngjun Im, Jingyu Choi, Taehwan Jeong
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
Learning Joint Relational Co-Evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction
Youru Li, Zhenfeng Zhu, Linxun Chen, Zhouyin Wang, Yinmeng Wang, Bing Han, Yao Zhao
Learning Discrete Document Representations in Web Search
Rong Huang, Danfeng Zhang, Weixue Lu, Han Li, Meng Wang, Daiting Shi, Jun Fan, Zhicong Cheng, Simiu Gu, Dawei Yin
Learning Balanced Tree Indexes for Large-Scale Vector Retrieval
Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen
Learning Autoregressive Model in LSM-Tree based Store
Yunxiang Su, Wenxuan Ma, Shaoxu Song
Large-Scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns
Shuodi Hui, Huandong Wang, Tong Li, Xinghao Yang, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng, Pan Hui, Depeng Jin, Yong Li
LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias
Mario Almagro, Emilio Almazán, Diego Ortego, David Jiménez
LATTE: A Framework for Learning Item-Features to Make a Domain-Expert for Effective Conversational Recommendation
Taeho Kim, Juwon Yu, Won-Yong Shin, Hyunyoung Lee, Ji-hui Im, Sang-Wook Kim