DW
David Wipf
cs.LGcs.AIcs.CVstat.MLcs.CLcs.DBAlgorithmsmath.OCcs.ITmath.IT
On Valency
published · living versionsW_df8pdd8g·v1 · currentpublished
Why Tabular Foundation Models Excel on Relational Data They Have Never Seen
with Linjie Xu, Yiqun Hu, Jixiang He
1 version
Preprints & journals
77 papers in the corpus · 2008–2026SGFormer: Simplifying and Scaling Graph Transformers With Single-Layer Attention and Approximation-Free Linear Complexity.42202199 · Wu, Qitian, Yang, Kai, Zhang, Hengrui et al.2026 · 0 citationsIEEE transactions on pattern analysis and machine intelligence. 2026;48(10):12553-12568
Parameter-Free Encoders Remain Viable for RDB Foundation Models2607.05476v2 · Linjie Xu, David Wipf2026 · 0 citationsarXiv
Resolving Action Bottleneck: Agentic Reinforcement Learning Informed by Token-Level Energy2605.14558v1 · Langzhou He, Junyou Zhu, Yue Zhou et al.2026 · 0 citationsarXiv
Lethal conflict after group fission in wild chimpanzees.41955363 · Sandel, Aaron A, He, Yixuan, Ren, Junpeng et al.2026 · 4 citationsScience (New York, N.Y.). 2026;392(6794):216-220
No Need to Train Your RDB Foundation Model2602.13697v2 · Linjie Xu, Yanlin Zhang, Quan Gan et al.2026 · 0 citationsarXiv
RDBLearn: Simple In-Context Prediction Over Relational Databases2602.18495v1 · Yanlin Zhang, Linjie Xu, Quan Gan et al.2026 · 0 citationsarXiv
TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning2510.06217v1 · Jiaru Zou, Soumya Roy, Vinay Kumar Verma et al.2025 · 1 citationarXiv
Explicit Preference Optimization: No Need for an Implicit Reward Model2506.07492v1 · Xiangkun Hu, Lemin Kong, Tong He et al.2025 · 0 citationsarXiv
Sparse Autoencoders, Again?2506.04859v2 · Yin Lu, Xuening Zhu, Tong He et al.2025 · 0 citationsarXiv
Griffin: Towards a Graph-Centric Relational Database Foundation Model2505.05568v2 · Yanbo Wang, Xiyuan Wang, Quan Gan et al.2025 · 1 citationarXiv
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners2503.01256v1 · Yuxin Wang, Botian Jiang, Yiran Guo et al.2025 · 0 citationsarXiv
Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions2502.00302v3 · Yixuan He, Aaron Sandel, David Wipf et al.2025 · 0 citationsarXiv
ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction2410.12865v1 · Yanlin Zhang, Ning Li, Quan Gan et al.2024 · 2 citationsarXiv
SGFormer: Single-Layer Graph Transformers with Approximation-Free Linear Complexity2409.09007v1 · Qitian Wu, Kai Yang, Hengrui Zhang et al.2024 · 1 citationarXiv
New Desiderata for Direct Preference Optimization2407.09072v1 · Xiangkun Hu, Tong He, David Wipf2024 · 0 citationsarXiv
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs2404.18209v1 · Minjie Wang, Quan Gan, David Wipf et al.2024 · 0 citationsarXiv
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization2403.04763v1 · Amber Yijia Zheng, Tong He, Yixuan Qiu et al.2024 · 2 citationsarXiv
On the Initialization of Graph Neural Networks2312.02622v1 · Jiahang Li, Yakun Song, Xiang Song et al.2023 · 5 citationsarXiv
GFS: Graph-based Feature Synthesis for Prediction over Relational Databases2312.02037v1 · Han Zhang, Quan Gan, David Wipf et al.2023 · 0 citationsarXiv
Sparse Bayesian Learning for End-to-End EEG Decoding.37506000 · Wang, Wenlong, Qi, Feifei, Wipf, David Paul et al.2023 · 90 citationsIEEE transactions on pattern analysis and machine intelligence. 2023;45(12):15632-15649
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy2310.12457v2 · Haitian Jiang, Renjie Liu, Zengfeng Huang et al.2023 · 0 citationsarXiv
Efficient Link Prediction via GNN Layers Induced by Negative Sampling2310.09516v2 · Yuxin Wang, Xiannian Hu, Quan Gan et al.2023 · 19 citationsIEEE Transactions on Knowledge and Data Engineering,2024
Robust Angular Synchronization via Directed Graph Neural Networks2310.05842v2 · Yixuan He, Gesine Reinert, David Wipf et al.2023 · 0 citationsarXiv
How Graph Neural Networks Learn: Lessons from Training Dynamics2310.05105v3 · Chenxiao Yang, Qitian Wu, David Wipf et al.2023 · 0 citationsarXiv
From Hypergraph Energy Functions to Hypergraph Neural Networks2306.09623v2 · Yuxin Wang, Quan Gan, Xipeng Qiu et al.2023 · 5 citationsarXiv
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification2306.08385v1 · Qitian Wu, Wentao Zhao, Zenan Li et al.2023 · 146 citationsarXiv
Learning Manifold Dimensions with Conditional Variational Autoencoders2302.11756v2 · Yijia Zheng, Tong He, Yixuan Qiu et al.2023 · 14 citationsarXiv
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion2301.09474v4 · Qitian Wu, Chenxiao Yang, Wentao Zhao et al.2023 · 43 citationsarXiv
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training2301.07482v3 · Kezhao Huang, Haitian Jiang, Minjie Wang et al.2023 · 22 citationsarXiv
Refined Edge Usage of Graph Neural Networks for Edge Prediction2212.12970v3 · Jiarui Jin, Yangkun Wang, Weinan Zhang et al.2022 · 2 citationsarXiv
Face Restoration via Plug-and-Play 3D Facial Priors.34705635 · Hu, Xiaobin, Ren, Wenqi, Yang, Jiaolong et al.2022 · 37 citationsIEEE transactions on pattern analysis and machine intelligence. 2022;44(12):8910-8926
Self-supervised Amodal Video Object Segmentation2210.12733v1 · Jian Yao, Yuxin Hong, Chiyu Wang et al.2022 · 9 citationsarXiv
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks2206.11081v4 · Hongjoon Ahn, Yongyi Yang, Quan Gan et al.2022 · 13 citationsarXiv
A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features2206.08473v1 · Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis et al.2022 · 2 citationsarXiv
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation2206.06587v1 · Kounianhua Du, Weinan Zhang, Ruiwen Zhou et al.2022 · 3 citationsarXiv
Transformers from an Optimization Perspective2205.13891v2 · Yongyi Yang, Zengfeng Huang, David Wipf2022 · 15 citationsarXiv
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation2204.04867v3 · Aditya Chattopadhyay, Xi Zhang, David Paul Wipf et al.2022 · 1 citationarXiv
Handling Distribution Shifts on Graphs: An Invariance Perspective2202.02466v5 · Qitian Wu, Hengrui Zhang, Junchi Yan et al.2022 · 49 citationsarXiv
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks2202.00211v3 · Yixuan He, Quan Gan, David Wipf et al.2022 · 10 citationsarXiv
Network In Graph Neural Network2111.11638v1 · Xiang Song, Runjie Ma, Jiahang Li et al.2021 · 9 citationsarXiv
Implicit vs Unfolded Graph Neural Networks2111.06592v3 · Yongyi Yang, Tang Liu, Yangkun Wang et al.2021 · 0 citationsarXiv
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features2110.13413v2 · Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis et al.2021 · 1 citationarXiv
Why Propagate Alone? Parallel Use of Labels and Features on Graphs2110.07190v1 · Yangkun Wang, Jiarui Jin, Weinan Zhang et al.2021 · 5 citationsarXiv
Learning Hierarchical Graph Neural Networks for Image Clustering2107.01319v2 · Yifan Xing, Tong He, Tianjun Xiao et al.2021 · 35 citationsarXiv
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks2106.12484v2 · Hengrui Zhang, Qitian Wu, Junchi Yan et al.2021 · 136 citationsarXiv
Bag of Tricks for Node Classification with Graph Neural Networks2103.13355v4 · Yangkun Wang, Jiarui Jin, Weinan Zhang et al.2021 · 27 citationsarXiv
Graph Neural Networks Inspired by Classical Iterative Algorithms2103.06064v4 · Yongyi Yang, Tang Liu, Yangkun Wang et al.2021 · 33 citationsarXiv
A Biased Graph Neural Network Sampler with Near-Optimal Regret2103.01089v3 · Qingru Zhang, David Wipf, Quan Gan et al.2021 · 9 citationsarXiv
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings2012.07412v3 · Qipeng Guo, Zhijing Jin, Ziyu Wang et al.2020 · 11 citationsarXiv
Further Analysis of Outlier Detection with Deep Generative Models2010.13064v1 · Ziyu Wang, Bin Dai, David Wipf et al.2020 · 18 citationsarXiv
Career total: 156 works. 77 are in this corpus.Showing the 50 most recent.
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