Alert button
Picture for David Wipf

David Wipf

Alert button

GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks

Feb 01, 2022
Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu

Figure 1 for GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
Figure 2 for GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
Figure 3 for GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
Figure 4 for GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
Viaarxiv icon

Implicit vs Unfolded Graph Neural Networks

Nov 12, 2021
Yongyi Yang, Yangkun Wang, Zengfeng Huang, David Wipf

Figure 1 for Implicit vs Unfolded Graph Neural Networks
Figure 2 for Implicit vs Unfolded Graph Neural Networks
Figure 3 for Implicit vs Unfolded Graph Neural Networks
Viaarxiv icon

Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features

Oct 26, 2021
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf

Figure 1 for Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features
Figure 2 for Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features
Figure 3 for Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features
Viaarxiv icon

Why Propagate Alone? Parallel Use of Labels and Features on Graphs

Oct 14, 2021
Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf

Figure 1 for Why Propagate Alone? Parallel Use of Labels and Features on Graphs
Figure 2 for Why Propagate Alone? Parallel Use of Labels and Features on Graphs
Figure 3 for Why Propagate Alone? Parallel Use of Labels and Features on Graphs
Figure 4 for Why Propagate Alone? Parallel Use of Labels and Features on Graphs
Viaarxiv icon

Learning Hierarchical Graph Neural Networks for Image Clustering

Jul 17, 2021
Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto

Figure 1 for Learning Hierarchical Graph Neural Networks for Image Clustering
Figure 2 for Learning Hierarchical Graph Neural Networks for Image Clustering
Figure 3 for Learning Hierarchical Graph Neural Networks for Image Clustering
Figure 4 for Learning Hierarchical Graph Neural Networks for Image Clustering
Viaarxiv icon

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

Jun 23, 2021
Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu

Figure 1 for From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Figure 2 for From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Figure 3 for From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Figure 4 for From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Viaarxiv icon

Graph Neural Networks Inspired by Classical Iterative Algorithms

Mar 10, 2021
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf

Figure 1 for Graph Neural Networks Inspired by Classical Iterative Algorithms
Figure 2 for Graph Neural Networks Inspired by Classical Iterative Algorithms
Figure 3 for Graph Neural Networks Inspired by Classical Iterative Algorithms
Figure 4 for Graph Neural Networks Inspired by Classical Iterative Algorithms
Viaarxiv icon

A Biased Graph Neural Network Sampler with Near-Optimal Regret

Mar 01, 2021
Qingru Zhang, David Wipf, Quan Gan, Le Song

Figure 1 for A Biased Graph Neural Network Sampler with Near-Optimal Regret
Figure 2 for A Biased Graph Neural Network Sampler with Near-Optimal Regret
Figure 3 for A Biased Graph Neural Network Sampler with Near-Optimal Regret
Figure 4 for A Biased Graph Neural Network Sampler with Near-Optimal Regret
Viaarxiv icon

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

Jan 25, 2021
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf

Figure 1 for Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
Figure 2 for Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
Figure 3 for Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
Figure 4 for Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
Viaarxiv icon