Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning
Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang
KDD 2023 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Decision breakdown
496papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled496100.0%
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TitleTypeTopic
Macular: a Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding
Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao
Machine Unlearning in Gradient Boosting Decision Trees
Huawei Lin, Jun Woo Chung, Yingjie Lao, Weijie Zhao
MUSER: A Multi-Step Evidence Retrieval Enhancement Framework for Fake News Detection
Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie
MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer
Yazheng Yang, Zhou Zhao, Qi Liu
MM-DAG: Multi-task DAG Learning for Multi-Modal Data with Application for Traffic Congestion Analysis
Tian Lan, Ziyue Li, zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Wolfgang Ketter, Rui Zhao, Chen Zhang
MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification
Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
Guanyu Cui, Zhewei Wei
MBrain: A Multi-Channel Self-Supervised Learning Framework for Brain Signals
Donghong Cai, Junru Chen, Yang Yang, Teng Liu, Yafeng Li
MAPLE: Semi-Supervised Learning with Multi-Alignment and Pseudo-Learning
Juncheng Yang, Chao Li, Zuchao Li, Wei Yu, Bo Du, Shijun Li
MAP: A Model-agnostic Pretraining Framework for Click-Through Rate Prediction
Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang
M5: Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top Recommendation
Pengyu Zhao, Xin Gao, Chunxu Xu, Liang Chen
M3PT: A Multi-Modal Model for POI Tagging
Jingsong Yang, Guanzhou Han, Deqing Yang, Jingping Liu, Yanghua Xiao, Xiang Xu, Baohua Wu, Shenghua Ni
Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems
Peng Peng, Shengyi Ji, Zhen Tian, Hongbo Jiang, Weiguo Zheng, Xuecang Zhang
Localised Adaptive Spatial-Temporal Graph Neural Network
Wenying Duan, Xiaoxi He, Zimu Zhou, Lothar Thiele, Hong Rao
Local Boosting for Weakly-Supervised Learning
Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang
LightToken: A Task and Model-Agnostic Lightweight Token Embedding Framework for Pre-trained Language Models
Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao
LightPath: Lightweight and Scalable Path Representation Learning
Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian Jensen
LibAUC: A Deep Learning Library for X-Risk Optimization
Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang
Leveraging Relational Graph Neural Network for Transductive Model Ensemble
Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu