Gan, Quan

15 publications

ICML 2025 Griffin: Towards a Graph-Centric Relational Database Foundation Model Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, Muhan Zhang

AISTATS 2025 Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners Yuxin Wang, Botian Jiang, Yiran Guo, Quan Gan, David Wipf, Xuanjing Huang, Xipeng Qiu

NeurIPS 2024 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang

ICML 2023 From Hypergraph Energy Functions to Hypergraph Neural Networks Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf

LoG 2022 CEP3: Community Event Prediction with Neural Point Process on Graph Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan

NeurIPS 2022 Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks Hongjoon Ahn, Yongyi Yang, Quan Gan, Taesup Moon, David P Wipf

ICML 2022 GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks Yixuan He, Quan Gan, David Wipf, Gesine D Reinert, Junchi Yan, Mihai Cucuringu

ICLR 2022 Inductive Relation Prediction Using Analogy Subgraph Embeddings Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan

NeurIPS 2022 Learning Enhanced Representation for Tabular Data via Neighborhood Propagation Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P Wipf

ICLR 2022 Why Propagate Alone? Parallel Use of Labels and Features on Graphs Yangkun Wang, Jiarui Jin, Weinan Zhang, Yang Yongyi, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf

NeurIPS 2021 A Biased Graph Neural Network Sampler with Near-Optimal Regret Qingru Zhang, David P. Wipf, Quan Gan, Le Song

ICML 2021 Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf

ICCV 2017 A Multimodal Deep Regression Bayesian Network for Affective Video Content Analyses Quan Gan, Shangfei Wang, Longfei Hao, Qiang Ji

AAAI 2017 Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network Quan Gan, Siqi Nie, Shangfei Wang, Qiang Ji

CVPR 2016 Facial Expression Intensity Estimation Using Ordinal Information Rui Zhao, Quan Gan, Shangfei Wang, Qiang Ji