KDD

Keyphrases

Publications

2024

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
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. KDD (2024)
Mohammad Naseri, Javier Fernández-Marqués, Yan Gao, Heng Pan
Privacy-Preserving Federated Learning using Flower Framework. KDD (2024)
Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning. KDD (2024)
Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. KDD (2024)
Osman Mian, Sarah Mameche, Jilles Vreeken
Learning Causal Networks from Episodic Data. KDD (2024)
Sara Ahmadian, MohammadHossein Bateni, Hossein Esfandiari, Silvio Lattanzi, Morteza Monemizadeh, Ashkan Norouzi-Fard
Resilient k-Clustering. KDD (2024)
Xinliang Zhu, Sheng-Wei Huang, Han Ding, Jinyu Yang, Kelvin Chen, Tao Zhou, Tal Neiman, Ouye Xie, Son Tran, Benjamin Z. Yao, Douglas Gray, Anuj Bindal, Arnab Dhua
Bringing Multimodality to Amazon Visual Search System. KDD (2024)
Yuting Feng, Vincent Y. F. Tan, Bogdan Cautis
Influence Maximization via Graph Neural Bandits. KDD (2024)
Chenhao Wang, Lisi Chen, Shuo Shang, Christian S. Jensen, Panos Kalnis
Multi-Scale Detection of Anomalous Spatio-Temporal Trajectories in Evolving Trajectory Datasets. KDD (2024)
Ricardo Baeza-Yates, Nataly Buslón
Responsible AI Day. KDD (2024)
Mihajlo Grbovic, Vladan Radosavljevic, Minmin Chen, Katerina Iliakopoulou-Zanos, Thanasis Noulas, Amit Goyal, Fabrizio Silvestri
TSMO 2024: Two-sided Marketplace Optimization. KDD (2024)
Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu
Unified Low-rank Compression Framework for Click-through Rate Prediction. KDD (2024)
Qingyao Li, Wei Xia, Li'ang Yin, Jiarui Jin, Yong Yu
Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation. KDD (2024)
Guiling Wang, Daniel Borrajo
KDD 2024 Finance Day. KDD (2024)
Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang
Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD (2024)
Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang
Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing. KDD (2024)
Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King
Geometric View of Soft Decorrelation in Self-Supervised Learning. KDD (2024)
Jiahuan Yan, Jintai Chen, Qianxing Wang, Danny Z. Chen, Jian Wu
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs. KDD (2024)
Farnoosh Hashemi, Ali Behrouz
A Unified Core Structure in Multiplex Networks: From Finding the Densest Subgraph to Modeling User Engagement. KDD (2024)
Minyoung Bae, Yooju Shin, Youngeun Nam, Youngseop Lee, Jae-Gil Lee
Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate. KDD (2024)
Ziyi Kou, Shichao Pei, Xiangliang Zhang
LeMon: Automating Portrait Generation for Zero-Shot Story Visualization with Multi-Character Interactions. KDD (2024)
Lingfei Deng, Yunong Wang, Haoran Wang, Xuhua Ma, Xiaoming Du, Xudong Zheng, Dongrui Wu
Time-Aware Attention-Based Transformer (TAAT) for Cloud Computing System Failure Prediction. KDD (2024)
Chamalee Wickrama Arachchi, Iiro Kumpulainen, Nikolaj Tatti
Dense Subgraph Discovery Meets Strong Triadic Closure. KDD (2024)
Boya Ma, Maxwell McNeil, Abram Magner, Petko Bogdanov
Low Rank Multi-Dictionary Selection at Scale. KDD (2024)
Pedro Bizarro
Lessons Learned while Running ML Models in Harsh Environments. KDD (2024)
Zijian Song, Wenhan Zhang, Lifang Deng, Jiandong Zhang, Zhihua Wu, Kaigui Bian, Bin Cui
Mitigating Negative Transfer in Cross-Domain Recommendation via Knowledge Transferability Enhancement. KDD (2024)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. KDD (2024)
Xihong Lin
Empower an End-to-end Scalable and Interpretable Data Science Ecosystem using Statistics, AI and Domain Science. KDD (2024)
Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip S. Yu, Mingsheng Long, Jianmin Wang
BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization. KDD (2024)
Chandler Zuo, Jonathan Castaldo, Hanqing Zhu, Haoyu Zhang, Ji Liu, Yangpeng Ou, Xiao Kong
Inductive Modeling for Realtime Cold Start Recommendations. KDD (2024)
Yinhao Bai, Yuhua Zhao, Zhixin Han, Hang Gao, Chao Xue, Mengting Hu
Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence. KDD (2024)
Sunwoo Kim, Soo Yong Lee, Yue Gao, Alessia Antelmi, Mirko Polato, Kijung Shin
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. KDD (2024)
Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs. KDD (2024)
Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. KDD (2024)
Zuoyu Yan, Junru Zhou, Liangcai Gao, Zhi Tang, Muhan Zhang
An Efficient Subgraph GNN with Provable Substructure Counting Power. KDD (2024)
Shen Jiang, Guanghui Zhu, Yue Wang, Chunfeng Yuan, Yihua Huang
Automatic Multi-Task Learning Framework with Neural Architecture Search in Recommendations. KDD (2024)
Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. KDD (2024)
Erica Coppolillo, Giuseppe Manco, Aristides Gionis
Relevance Meets Diversity: A User-Centric Framework for Knowledge Exploration Through Recommendations. KDD (2024)
Muhao Xu, Zhenfeng Zhu, Youru Li, Shuai Zheng, Yawei Zhao, Kunlun He, Yao Zhao
FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction. KDD (2024)
Jinquan Hang, Zhiqing Hong, Xinyue Feng, Guang Wang, Guang Yang, Feng Li, Xining Song, Desheng Zhang
Paths2Pair: Meta-path Based Link Prediction in Billion-Scale Commercial Heterogeneous Graphs. KDD (2024)
Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. KDD (2024)
Congxi Xiao, Jingbo Zhou, Yixiong Xiao, Jizhou Huang, Hui Xiong
ReFound: Crafting a Foundation Model for Urban Region Understanding upon Language and Visual Foundations. KDD (2024)
Wentao Su, Weitao Duan
Improving Ego-Cluster for Network Effect Measurement. KDD (2024)
Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey). KDD (2024)
Dmytro Korenkevych, Frank Cheng, Artsiom Balakir, Alex Nikulkov, Lingnan Gao, Zhihao Cen, Zuobing Xu, Zheqing Zhu
Offline Reinforcement Learning for Optimizing Production Bidding Policies. KDD (2024)
Yue Deng, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
Unraveling Block Maxima Forecasting Models with Counterfactual Explanation. KDD (2024)
Wangze Ni, Yiwei Zhao, Weijie Sun, Lei Chen, Peng Cheng, Chen Jason Zhang, Xuemin Lin
Money Never Sleeps: Maximizing Liquidity Mining Yields in Decentralized Finance. KDD (2024)
Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks. KDD (2024)
Zhen Zhang, Weian Li, Yahui Lei, Bingzhe Wang, Zhicheng Zhang, Qi Qi, Qiang Liu, Xingxing Wang
Joint Auction in the Online Advertising Market. KDD (2024)
Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj Singh, William Yang Wang, Lei Li
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. KDD (2024)