KDD

MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading

Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An

Comments Accepted to KDD 2024

Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective

Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen

Comments KDD 2024 research track. Code available at https://github.com/EdisonLeeeee/MAGI

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

Comments Accepted by KDD 2024, camera-ready version

Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning

Amit Sharma, Hua Li, Xue Li, Jian Jiao

Comments Accepted at KDD 2024

Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing

Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo

Comments KDD 2024

Causal Inference with Latent Variables: Recent Advances and Future Prospectives

Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li

Comments Accepted by KDD'24 Survey Track

Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning

Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj Singh, William Yang Wang, Lei Li

Comments Accepted by KDD 2024

Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs

Hewen Wang, Renchi Yang, Xiaokui Xiao

Comments 11 pages. Full version of the research paper accepted to KDD 2024

Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing

Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang

Comments Preprint, accepted to appear in SIGKDD 2024, 12 pages. The source code is available at https://github.com/JJCui96/GRKT. Keywords: interpretable knowledge tracing, student behavior modeling, intelligence education

Repeat-Aware Neighbor Sampling for Dynamic Graph Learning

Tao Zou, Yuhao Mao, Junchen Ye, Bowen Du

Comments Accepted by KDD 2024, Research Track

CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control

Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao

Comments Accepted by KDD 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems

Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang

Comments Accepted to KDD 2024

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

Comments KDD'24, 9 pages, 5 appendix pages

Journal ref Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24), August 25--29, 2024, Barcelona, Spain

Improving Conversational Recommendation Systems via Counterfactual Data Simulation

Xiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen

Comments Accepted by KDD 2023. Code: https://github.com/RUCAIBox/CFCRS

Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck

Sangwoo Seo, Sungwon Kim, Jihyeong Jung, Yoonho Lee, Chanyoung Park

Comments KDD 2024

Influence Maximization via Graph Neural Bandits

Yuting Feng, Vincent Y. F. Tan, Bogdan Cautis

Comments To appear at the 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

Scalable Rule Lists Learning with Sampling

Leonardo Pellegrina, Fabio Vandin

Comments Accepted to KDD 2024

Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model

Jiang-Xin Shi, Chi Zhang, Tong Wei, Yu-Feng Li

Comments Accepted by KDD 2024

The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs

Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang

Comments KDD 2024

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

Comments Accepted by KDD 2024. 12 pages

Top-Down Bayesian Posterior Sampling for Sum-Product Networks

Soma Yokoi, Issei Sato

Comments KDD 2024

Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask

Jingyu Xiao, Zhiyao Xu, Qingsong Zou, Qing Li, Dan Zhao, Dong Fang, Ruoyu Li, Wenxin Tang, Kang Li, Xudong Zuo, Penghui Hu, Yong Jiang, Zixuan Weng, Michael R. Lyv

Comments KDD 2024

STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning

Wei Shao, Yufan Kang, Ziyan Peng, Xiao Xiao, Lei Wang, Yuhui Yang, Flora D Salim

Comments Accepted paper in KDD 2024

Foundation Models for Time Series Analysis: A Tutorial and Survey

Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen

Comments In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'24)

Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion

Hao Zeng, Jiaqi Wang, Avirup Das, Junying He, Kunpeng Han, Haoyuan Hu, Mingfei Sun

Comments Accepted to SIGKDD 2024

BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning

Yi Liu, Cong Wang, Xingliang Yuan

Comments In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD' 24), August 25-29, 2024, Barcelona, Spain

FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction

Muhao Xu, Zhenfeng Zhu, Youru Li, Shuai Zheng, Yawei Zhao, Kunlun He, Yao Zhao

Comments Accepted by KDD 2024 (Research Track)

Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling

Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao, Jiawei Zhang

Comments KDD'2024 Research Track Paper

AIM: Attributing, Interpreting, Mitigating Data Unfairness

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik Hamann, Hanghang Tong

Comments 12 pages, 6 figures, accepted by ACM SIGKDD 2024. Webpage: https://github.com/ZhiningLiu1998/AIM

Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark

Xiaowei Qian, Zhimeng Guo, Jialiang Li, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma

Comments KDD ADS 2024