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DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained
  Diffusion

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion

23 January 2023
Qitian Wu
Chenxiao Yang
Wen-Long Zhao
Yixuan He
David Wipf
Junchi Yan
    DiffM
ArXivPDFHTML

Papers citing "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

13 / 13 papers shown
Title
Graph Fourier Transformer with Structure-Frequency Information
Graph Fourier Transformer with Structure-Frequency Information
Yonghui Zhai
Yang Zhang
Minghao Shang
Lihua Pang
Yaxin Ren
31
0
0
28 Apr 2025
High-order Graph Neural Networks with Common Neighbor Awareness for Link Prediction
High-order Graph Neural Networks with Common Neighbor Awareness for Link Prediction
Ling Wang
Minglian Han
AI4CE
19
0
0
26 Apr 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
68
0
0
16 Mar 2025
TopoFR: A Closer Look at Topology Alignment on Face Recognition
TopoFR: A Closer Look at Topology Alignment on Face Recognition
Jun Dan
Y. Liu
Jiankang Deng
Haoyu Xie
Siyuan Li
Baigui Sun
Shan Luo
CVBM
26
4
0
14 Oct 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition
When Graph Neural Networks Meet Dynamic Mode Decomposition
Dai Shi
Lequan Lin
Andi Han
Zhiyong Wang
Yi Guo
Junbin Gao
AI4CE
23
0
0
08 Oct 2024
Semi-Supervised Graph Representation Learning with Human-centric
  Explanation for Predicting Fatty Liver Disease
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease
So Yeon Kim
Sehee Wang
Eun Kyung Choe
21
0
0
05 Mar 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Weichen Zhao
Chenguang Wang
Xinyan Wang
Congying Han
Tiande Guo
Tianshu Yu
38
0
0
23 Feb 2024
GraphGPT: Graph Instruction Tuning for Large Language Models
GraphGPT: Graph Instruction Tuning for Large Language Models
Jiabin Tang
Yuhao Yang
Wei Wei
Lei Shi
Lixin Su
Suqi Cheng
Dawei Yin
Chao Huang
24
120
0
19 Oct 2023
Supercharging Graph Transformers with Advective Diffusion
Supercharging Graph Transformers with Advective Diffusion
Qitian Wu
Chenxiao Yang
Kaipeng Zeng
Fan Nie
AI4CE
37
6
0
10 Oct 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph
  Neural Networks
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
Wentao Zhao
Qitian Wu
Chenxiao Yang
Junchi Yan
17
12
0
20 Jun 2023
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
249
1,982
0
28 Jul 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
245
648
0
23 Mar 2020
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,202
0
24 Nov 2016
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