Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement
Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang
KDD 2024 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Decision breakdown
562papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled562100.0%
Browse all papers
TitleTypeTopic
Optimized Cost Per Click in Online Advertising: A Theoretical Analysis
Kaichen Zhang, Zixuan Yuan, Hui Xiong
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen
Ontology Enrichment for Effective Fine-grained Entity Typing
Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han
OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing
Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han
Online Preference Weight Estimation Algorithm with Vanishing Regret for Car-Hailing in Road Network
Yucen Gao, Zhehao Zhu, Mingqian Ma, Fei Gao, Hui Gao, Yangguang Shi, Xiaofeng Gao
Online Drift Detection with Maximum Concept Discrepancy
Ke Wan, Yi Liang, Susik Yoon
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes
Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models
Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen
On Early Detection of Hallucinations in Factual Question Answering
Ben Snyder, Marius Moisescu, Muhammad Bilal Zafar
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top-$n$ Recommendation
Olivier Jeunen, Ivan Potapov, Aleksei Ustimenko
Offline Reinforcement Learning for Optimizing Production Bidding Policies
Dmytro Korenkevych, Frank Cheng, Artsiom Balakir, Alex Nikulkov, Lingnan Gao, Zhihao Cen, Zuobing Xu, Zheqing Zhu
Offline Imitation Learning with Model-based Reverse Augmentation
Jie-Jing Shao, Haosen Shi, Lan-Zhe Guo, Yu-Feng Li
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems
Hong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining
Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang
NudgeRank: Digital Algorithmic Nudging for Personalized Health
Jodi Chiam, Aloysius Lim, Ankur Teredesai
Non-autoregressive Generative Models for Reranking Recommendation
Yuxin Ren, Qiya Yang, Yichun Wu, Wei Xu, Yalong Wang, Zhiqiang Zhang
Noisy Label Removal for Partial Multi-Label Learning
Fuchao Yang, Yuheng Jia, Hui Liu, Yongqiang Dong, Junhui Hou
NeuroCut: A Neural Approach for Robust Graph Partitioning
Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu