KDD

Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training

Fan Liu, Weijia Zhang, Hao Liu

Comments Accepted by KDD 2023

Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders

Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew J Margenot, Hanghang Tong

Comments KDD 2023

IERL: Interpretable Ensemble Representation Learning -- Combining CrowdSourced Knowledge and Distributed Semantic Representations

Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit Sheth

Comments Accepted for publication at the KDD workshop on Knowledge-infused Machine Learning, 2023

Similarity Preserving Adversarial Graph Contrastive Learning

Yeonjun In, Kanghoon Yoon, Chanyoung Park

Comments 9 pages; KDD'23

Task-Equivariant Graph Few-shot Learning

Sungwon Kim, Junseok Lee, Namkyeong Lee, Wonjoong Kim, Seungyoon Choi, Chanyoung Park

Comments KDD 2023

Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint

Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, YuanKai Zhang, Jie Han, Yixiong Zou

Comments KDD 2023 research track

KSAT: Knowledge-infused Self Attention Transformer -- Integrating Multiple Domain-Specific Contexts

Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit Sheth

Comments Preprint version of paper accepted for publication at KDD workshop on Knowledge Augmented Methods for NLP, 2023

Knowledge-Infused Self Attention Transformers

Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit Sheth

Comments Accepted for publication at the Second Workshop on Knowledge Augmented Methods for NLP, colocated with KDD 2023

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning

Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He

Comments Accepted by KDD '23, ADS track

IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research

Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-mei Hwu

Comments Accepted in KDD'23 conference. This is final preprint version

Journal ref KDD 2023

CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations

Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav

Journal ref Proceedings of the 29th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23), 2023

Spatial Heterophily Aware Graph Neural Networks

Congxi Xiao, Jingbo Zhou, Jizhou Huang, Tong Xu, Hui Xiong

Comments Accepted by KDD 2023

FedMultimodal: A Benchmark For Multimodal Federated Learning

Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan

Comments This paper was accepted to KDD 2023 Applied Data Science (ADS) track

GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks

Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan

Comments Published as a conference paper at KDD 2023

CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems

Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun

Comments 13 pages, 8 figures

Journal ref KDD 2023

Using Motif Transitions for Temporal Graph Generation

Penghang Liu, A. Erdem Sarıyüce

Comments Accepted by 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2023)

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving

Wayne Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu

Comments Accepted by KDD 2023 ADS track, the 2.0 version of JiuZhang (arxiv:2206.06315v1)

Rapid Image Labeling via Neuro-Symbolic Learning

Yifeng Wang, Zhi Tu, Yiwen Xiang, Shiyuan Zhou, Xiyuan Chen, Bingxuan Li, Tianyi Zhang

Comments This paper was accepted by the 2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

M3PT: A Multi-Modal Model for POI Tagging

Jingsong Yang, Guanzhou Han, Deqing Yang, Jingping Liu, Yanghua Xiao, Xiang Xu, Baohua Wu, Shenghua Ni

Comments Accepted by KDD 2023

Minimizing Hitting Time between Disparate Groups with Shortcut Edges

Florian Adriaens, Honglian Wang, Aristides Gionis

Comments To appear in KDD 2023

Understanding Dynamic Spatio-Temporal Contexts in Long Short-Term Memory for Road Traffic Speed Prediction

Won Kyung Lee, Deuk Sin Kwon, So Young Sohn

Comments 10pages, 2 tables, 4 figures, 2017 KDD Cup

HomoGCL: Rethinking Homophily in Graph Contrastive Learning

Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai

Comments Accepted to KDD 2023 Research Track

GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification

Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai

Comments Accepted to KDD 2023 Research Track

Modeling Dual Period-Varying Preferences for Takeaway Recommendation

Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu

Comments accepted by KDD (The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining) 2023 Applied Data Science (ADS) track

Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems

Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang

Comments KDD 2023, fix typo

Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining

Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos

Comments Accepted to KDD 2023

Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning

Jacob Brown, Xi Jiang, Van Tran, Arjun Nitin Bhagoji, Nguyen Phong Hoang, Nick Feamster, Prateek Mittal, Vinod Yegneswaran

Comments To appear in Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '23)

Multi-Temporal Relationship Inference in Urban Areas

Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong

Comments Accepted by KDD 2023. Code and data: https://github.com/agave233/SEENet

MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification

Hongyuan Dong, Weinan Zhang, Wanxiang Che

Comments Accepted at KDD 2023

FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks

Mridul Gupta, Hariprasad Kodamana, Sayan Ranu

Journal ref Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 23), 2023