PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer
Jiahong Ma, Mingguo He, Zhewei Wei
KDD 2024 论文列表
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement Learning
Heyang Gao, Zexu Sun, Hao Yang, Xu Chen
Physics-informed Neural ODE for Post-disaster Mobility Recovery
Jiahao Li, Huandong Wang, Xinlei Chen
Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation
Porter Jenkins, Michael Selander, J. Stockton Jenkins, Andrew Merrill, Kyle Armstrong
Personalized Federated Continual Learning via Multi-Granularity Prompt
Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information
Aishwarya Jayagopal, Hansheng Xue, Ziyang He, Robert J. Walsh, Krishna Kumar Hariprasannan, David Shao Peng Tan, Tuan Zea Tan, Jason J. Pitt, Anand D Jeyasekharan, Vaibhav Rajan
Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems
Zhichen Xiang, Hongke Zhao, Chuang Zhao, Ming He, Jianping Fan
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection
Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
Paths2Pair: Meta-path Based Link Prediction in Billion-Scale Commercial Heterogeneous Graphs
Jinquan Hang, Zhiqing Hong, Xinyue Feng, Guang Wang, Guang Yang, Feng Li, Xining Song, Desheng Zhang
Path-based Explanation for Knowledge Graph Completion
Heng Chang, Jiangnan Ye, Alejo Lopez-Avila, Jinhua Du, Jia Li
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis
Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang
PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering
Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
PEMBOT: Pareto-Ensembled Multi-task Boosted Trees
Gokul Swamy, Anoop Saladi, Arunita Das, Shobhit Niranjan
PATE: Proximity-Aware Time Series Anomaly Evaluation
Ramin Ghorbani, Marcel J.T. Reinders, David M. J. Tax
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization
Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
Orthogonality Matters: Invariant Time Series Representation for Out-of-distribution Classification
Ruize Shi, Hong Huang, Kehan Yin, Wei Zhou, Hai Jin
Optimizing Smartphone App Usage Prediction: A Click-Through Rate Ranking Approach
Yuqi Zhang, Meiying Kang, Xiucheng Li, yu qiu, Zhijun Li
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models
Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang
Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning
Amit Sharma, Hua Li, Xue Li, Jian Jiao