KDD 2023 论文列表

ACM SIGKDD Conference on Knowledge Discovery and Data Mining

2024 2023

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496篇论文

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Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics

Youssef Elmougy, Ling Liu

Delving into Global Dialogue Structures: Structure Planning Augmented Response Selection for Multi-Turn Conversations

Tingchen Fu, Xueliang Zhao

Deep Weakly-Supervised Anomaly Detection

Guansong Pang, Chunhua Shen, Huidong Jin, Anton van den Hengel

Deep Transfer Learning for City-Scale Cellular Traffic Generation through Urban Knowledge Graph

Zhang Shiyuan, Tong Li, Shuodi Hui, Guangyu Li, Yanping Liang, Li Yu, Depeng Jin, Yong Li

Deep Pipeline Embeddings for AutoML

Sebastian Pineda Arango, Josif Grabocka

Deep Offline Reinforcement Learning for Real-World Treatment Optimization Applications

Mila Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding

Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu

Deep Encoders with Auxiliary Parameters for Extreme Classification

Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma

Deep Bayesian Active Learning for Accelerating Stochastic Simulation

Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu

Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint

Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, YuanKai Zhang, Jie Han, Yixiong Zou

Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning

Deniz Koyuncu, Alex Gittens, Bluent Yener

Debiasing Recommendation by Learning Identifiable Latent Confounders

Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo

Data-Efficient and Interpretable Tabular Anomaly Detection

Chun-Hao Chang, Jinsung Yoon, Sercan Arik, Madeleine Udell, Tomas Pfister

DRL4Route: A Deep Reinforcement Learning Framework for Pick-Up and Delivery Route Prediction

Lixia Wu, Jianbin Zheng, Haoyuan Hu

DNet: Distributional Network for Distributional Individualized Treatment Effects

Guojun Wu, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu

DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization

Wenhao Zhang, Zimu Zhou, Yansheng Wang, Yongxin Tong

DGI: An Easy and Efficient Framework for GNN Model Evaluation

Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang

DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection

Jiaying Wu, Bryan Hooi

DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun

CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning

Gang Yan, Hao Wang, Xu Yuan, Jian Li

KDD 2023 论文列表

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