DyGKT: Dynamic Graph Learning for Knowledge Tracing
Ke Cheng, Peng Linzhi, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du
KDD 2024 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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562papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled562100.0%
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TitleTypeTopic
Dual-Assessment Driven Pruning: Iterative Optimizing Layer-wise Sparsity for Large Language Model
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DuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map Generation
Deguo Xia, Weiming Zhang, Xiyan Liu, Wei Zhang, Chenting Gong, Jizhou Huang, mengmeng yang, Diange Yang
Double Correction Framework for Denoising Recommendation
Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Bai Haoyue, Jinqi Gong, Richang Hong, Min Zhang
Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise
Kaize Ding, Xiaoxiao Ma, Yixin Liu, Shirui Pan
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition
Junru Zhang, Lang Feng, Zhidan Liu, Yuhan Wu, Yang He, Yabo Dong, Duanqing Xu
Distributional Network of Networks for Modeling Data Heterogeneity
Jun Wu, Jingrui He, Hanghang Tong
Distributed Thresholded Counting with Limited Interaction
Xiaoyi Zhu, Yuxiang Tian, Zengfeng Huang
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization
Bao Hoang, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou
Disentangled Multi-interest Representation Learning for Sequential Recommendation
Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang
DipDNN: Preserving Inverse Consistency and Approximation Efficiency for Invertible Learning
Jingyi Yuan, Yang Weng, Erik Blasch
DiffusionE: Reasoning on Knowledge Graphs via Diffusion-based Graph Neural Networks
Zongsheng Cao, Jing Li, Zigan Wang, Jinliang Li
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations
Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin
Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization
Haoye Chai, Tao Jiang, Li Yu
DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference
Shuliang Wang, Xinyu Pan, Sijie Ruan, Haoyu Han, Ziyu Wang, Hanning Yuan, Jiabao Zhu, Qi Li
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images
Sukanya Patra, Nicolas Sournac, Souhaib Ben Taieb
Dense Subgraph Discovery Meets Strong Triadic Closure
Chamalee Wickrama Arachchi, Iiro Kumpulainen, Nikolaj Tatti
Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising
Shuai Yang, Hao Yang, Zhuang Zou, Linhe Xu, Shuo Yuan, Yifan Zeng