HGCN: Tree-Likeness Modeling via Continuous and Discrete Curvature Learning
Menglin Yang, Min Zhou, Lujia Pan, Irwin King
KDD 2023 论文列表
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge
Tianhuang Su, Haifeng Liu
Group-based Fraud Detection Network on E-Commerce Platforms
Jianke Yu, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
The Hong Kong University of Science and Technology, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
Graph Neural Processes for Spatio-Temporal Extrapolation
Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Roger Zimmermann
Graph Neural Bandits
Yunzhe Qi, Yikun Ban, Jingrui He
Graph Learning in Physical-Informed Mesh-Reduced Space for Real-World Dynamic Systems
Yeping Hu, Bo Lei, Victor M. Castillo
Graph Contrastive Learning with Generative Adversarial Network
Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes
Song Wei, Yao Xie, Christopher S Josef, Rishikesan Kamaleswaran
Grace: Graph Self-Distillation and Completion to Mitigate Degree-Relatednesses
Hui Xu, Liyao Xiang, Femke Huang, Yuting Weng, Ruijie Xu, Xinbing Wang, Chenghu Zhou
GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network
Ran Jia, Haoming Guo, Xiaoyuan Jin, Chao Yan, Lun Du, Xiaojun Ma, Tamara Stankovic, Marko Lozajic, Goran Zoranovic, Igor Ilic, Shi Han, Dongmei Zhang
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
Tsuyoshi Ide, Naoki Abe
Generative Flow Network for Listwise Recommendation
Shuchang Liu, Qingpeng Cai, Zhankui He, Sun Bowen, Julian McAuley, Dong Zheng, Peng Jiang, Kun Gai
Generative Causal Interpretation Model for Spatio-Temporal Representation Learning
Yu Zhao, Pan Deng, Junting Liu, Xiaofeng Jia, Jianwei Zhang
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning
Feiyang Pan, Jia He, Dandan Tu
Generalizing Graph ODE for Learning Complex System Dynamics across Environments
Zijie Huang, Yizhou Sun, Wei Wang
Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation
Pengtao Dang, Haiqi Zhu, Tingbo Guo, Changlin Wan, Tong Zhao, Paul Salama, Yijie Wang, Sha Cao, Chi Zhang