Reimagining Graph Classification from a Prototype View with Optimal Transport: Algorithm and Theorem
Chen Qian, Huayi Tang, Hong Liang, Yong Liu
KDD 2024 论文列表
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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RecExplainer: Aligning Large Language Models for Explaining Recommendation Models
Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
ReFound: Crafting a Foundation Model for Urban Region Understanding upon Language and Visual Foundations
Congxi Xiao, Jingbo Zhou, Yixiong Xiao, Jizhou Huang, Hui Xiong
ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions
Zhichen Lai, Dalin Zhang, Huan Li, Dongxiang Zhang, Hua Lu, Christian S. Jensen
ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection
Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Xingjun Wang, Edith C. H. Ngai
RareBench: Can LLMs Serve as Rare Diseases Specialists?
Xuanzhong Chen, Xiaohao Mao, Qihan Guo, Lun Wang, Shuyang Zhang, Ting Chen
Ranking with Slot Constraints
Wentao Guo, Andrew Wang, Bradon Thymes, Thorsten Joachims
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing
Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, xiuqiang He, Chen Ma
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data
Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Uday Singh Saini, Vivian Lai, Prince Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang
ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation
Shanshan Feng, Feiyu Meng, Lisi Chen, Shuo Shang, Yew Soon Ong
RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning
Congyun Jin, Ming Zhang, Xiaowei Ma, Li Yujiao, Yingbo Wang, Jia Yabo, Yuliang Du, Tao Sun, Haowen Wang, Cong Fan, Jinjie Gu, Chenfei Chi, Xiangguo Lv, Fangzhou Li, Wei Xue, Yiran Huang
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes
Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms
Luis Roque, Carlos Soares, Luís Torgo
RCTD: Reputation-Constrained Truth Discovery in Sybil Attack Crowdsourcing Environment
Xing Jin, Zhihai Gong, Jiuchuan Jiang, Chao Wang, Jian Zhang, Zhen Wang
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks
Seong-Hyeon Hwang, Minsu Kim, Steven Euijong Whang
R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models
Shangqing Tu, Yuanchun Wang, Jifan Yu, Yuyang Xie, Yaran Shi, Xiaozhi Wang, Jing Zhang, Lei Hou, Juanzi Li
Quantifying and Estimating the Predictability Upper Bound of Univariate Numeric Time Series
Jamal Mohammed, Michael H. Böhlen, Sven Helmer
QSketch: An Efficient Sketch for Weighted Cardinality Estimation in Streams
Yiyan Qi, Rundong Li, Pinghui Wang, Yufang Sun, Rui Xing
QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering
Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang, Yiu-ming Cheung
Provable Adaptivity of Adam under Non-uniform Smoothness
Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Tie-Yan Liu, Zhi-Quan Luo, Wei Chen