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What Improves the Generalization of Graph Transformers? A Theoretical
  Dive into the Self-attention and Positional Encoding

What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding

4 June 2024
Hongkang Li
Meng Wang
Tengfei Ma
Sijia Liu
Zaixi Zhang
Pin-Yu Chen
    MLT
    AI4CE
ArXivPDFHTML

Papers citing "What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding"

10 / 10 papers shown
Title
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
Hongkang Li
Yihua Zhang
Shuai Zhang
M. Wang
Sijia Liu
Pin-Yu Chen
MoMe
69
2
0
15 Apr 2025
A Survey of Graph Transformers: Architectures, Theories and Applications
A Survey of Graph Transformers: Architectures, Theories and Applications
Chaohao Yuan
Kangfei Zhao
Ercan Engin Kuruoglu
Liang Wang
Tingyang Xu
Wenbing Huang
Deli Zhao
Hong Cheng
Yu Rong
55
4
0
23 Feb 2025
Multi-State-Action Tokenisation in Decision Transformers for
  Multi-Discrete Action Spaces
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces
Perusha Moodley
Pramod S. Kaushik
Dhillu Thambi
Mark Trovinger
Praveen Paruchuri
Xia Hong
Benjamin Rosman
50
0
0
01 Jul 2024
How does promoting the minority fraction affect generalization? A
  theoretical study of the one-hidden-layer neural network on group imbalance
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance
Hongkang Li
Shuai Zhang
Yihua Zhang
Meng Wang
Sijia Liu
Pin-Yu Chen
35
4
0
12 Mar 2024
On the Convergence and Sample Complexity Analysis of Deep Q-Networks
  with $ε$-Greedy Exploration
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with εεε-Greedy Exploration
Shuai Zhang
Hongkang Li
Meng Wang
Miao Liu
Pin-Yu Chen
Songtao Lu
Sijia Liu
K. Murugesan
Subhajit Chaudhury
32
19
0
24 Oct 2023
How Do Transformers Learn Topic Structure: Towards a Mechanistic
  Understanding
How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
Yuchen Li
Yuan-Fang Li
Andrej Risteski
120
61
0
07 Mar 2023
Hierarchical Graph Transformer with Adaptive Node Sampling
Hierarchical Graph Transformer with Adaptive Node Sampling
Zaixin Zhang
Qi Liu
Qingyong Hu
Cheekong Lee
75
81
0
08 Oct 2022
Generalization Analysis of Message Passing Neural Networks on Large
  Random Graphs
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
Sohir Maskey
Ron Levie
Yunseok Lee
Gitta Kutyniok
GNN
80
53
0
01 Feb 2022
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
185
1,169
0
03 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,078
0
13 Feb 2020
1