Commonsense Knowledge Graph towards Supper APP and Its Applications in Alipay
Xiaoling Zang, Binbin Hu, Chu Jun, Zhiqiang Zhang, Guannan Zhang, JUN ZHOU, Wenliang Zhong
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
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, SHAN WANG, Yufei Xue, Lei Shen, Zihan Wang, Andi WANG, Yang Li, Teng Su, Zhilin Yang, Jie Tang
Clenshaw Graph Neural Networks
Yuhe Guo, Zhewei Wei
Classification of Edge-Dependent Labels of Nodes in Hypergraphs
Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin
Certified Edge Unlearning for Graph Neural Networks
Kun Wu, Jie Shen, Yue Ning, Ting Wang, Wendy Hui Wang
Causal Inference via Style Transfer for Out-of-Distribution Generalisation
Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
Causal Effect Estimation on Hierarchical Spatial Graph Data
Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach
Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng
Capacity Constrained Influence Maximization in Social Networks
Yiqian Huang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang
CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution
Yuxiang Guo, Lu Chen, Zhengjie Zhou, Baihua Zheng, Ziquan Fang, Zhikun Zhang, Yuren Mao, Yunjun Gao
CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation
Liu Chong, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin
COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search
Shibal Ibrahim, Wenyu Chen, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder
CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning
Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu
CFGL-LCR: A Counterfactual Graph Learning framework for Legal Case Retrieval
Kun Zhang, Chong Chen, Yuanzhuo Wang, Qi Tian, Long Bai
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun
CBLab: Supporting the Training of Large-Scale Traffic Control Policies with Scalable Traffic Simulation
Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Kan Wu, Yuhao Du, FULIANG LI, Zhenhui Jessie Li
CARL-G: Clustering-Accelerated Representation Learning on Graphs
William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
CADENCE: Offline Category Constrained and Diverse Query Generation for E-Commerce Autosuggest
Abhinav Anand, Surender Kumar, Nandeesh Kumar, Samir Shah
C-AOI: Contour-based Instance Segmentation for High-Quality Areas-of-Interest in Online Food Delivery Platform
Yida Zhu, Liying Chen, Daping Xiong, Shuiping Chen, Fangxiao Du, Jinghua Hao, Renqing He, Zhizhao Sun