DAM-GT: Dual Positional Encoding-Based Attention Masking Graph Transformer for Node Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Chenyang, Chen, Jinsong, Hopcroft, John E., He, Kun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rethinking Tokenized Graph Transformers for Node Classification
by: Chen, Jinsong, et al.
Published: (2025)
by: Chen, Jinsong, et al.
Published: (2025)
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
by: Chen, Jinsong, et al.
Published: (2024)
by: Chen, Jinsong, et al.
Published: (2024)
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification
by: Chen, Jinsong, et al.
Published: (2024)
by: Chen, Jinsong, et al.
Published: (2024)
FedGT: Federated Node Classification with Scalable Graph Transformer
by: Zhang, Zaixi, et al.
Published: (2024)
by: Zhang, Zaixi, et al.
Published: (2024)
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
by: He, Kun, et al.
Published: (2025)
by: He, Kun, et al.
Published: (2025)
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers
by: Zhu, Wenhao, et al.
Published: (2024)
by: Zhu, Wenhao, et al.
Published: (2024)
Tab-PET: Graph-Based Positional Encodings for Tabular Transformers
by: Leng, Yunze, et al.
Published: (2025)
by: Leng, Yunze, et al.
Published: (2025)
GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization
by: Zhang, Huizhe, et al.
Published: (2025)
by: Zhang, Huizhe, et al.
Published: (2025)
Rethinking Graph Transformer Architecture Design for Node Classification
by: Zhou, Jiajun, et al.
Published: (2024)
by: Zhou, Jiajun, et al.
Published: (2024)
Comparing Graph Transformers via Positional Encodings
by: Black, Mitchell, et al.
Published: (2024)
by: Black, Mitchell, et al.
Published: (2024)
Graph Transformers without Positional Encodings
by: Garg, Ayush
Published: (2024)
by: Garg, Ayush
Published: (2024)
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
by: Wang, Zhe, et al.
Published: (2024)
by: Wang, Zhe, et al.
Published: (2024)
NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification
by: Hu, Jun, et al.
Published: (2025)
by: Hu, Jun, et al.
Published: (2025)
Generating Directed Graphs with Dual Attention and Asymmetric Encoding
by: Carballo-Castro, Alba, et al.
Published: (2025)
by: Carballo-Castro, Alba, et al.
Published: (2025)
OpenGT: A Comprehensive Benchmark For Graph Transformers
by: Tang, Jiachen, et al.
Published: (2025)
by: Tang, Jiachen, et al.
Published: (2025)
Size Transferability of Graph Transformers with Convolutional Positional Encodings
by: Porras-Valenzuela, Javier, et al.
Published: (2026)
by: Porras-Valenzuela, Javier, et al.
Published: (2026)
Graph Transformer with Disease Subgraph Positional Encoding for Improved Comorbidity Prediction
by: Qin, Xihan, et al.
Published: (2025)
by: Qin, Xihan, et al.
Published: (2025)
Benchmarking Positional Encodings for GNNs and Graph Transformers
by: Grötschla, Florian, et al.
Published: (2024)
by: Grötschla, Florian, et al.
Published: (2024)
Learning to Rewrite Prompts for Bootstrapping LLMs on Downstream Tasks
by: Zhou, Qinhao, et al.
Published: (2025)
by: Zhou, Qinhao, et al.
Published: (2025)
Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification
by: Zhou, Zijie, et al.
Published: (2024)
by: Zhou, Zijie, et al.
Published: (2024)
Graph Attention Specialized Expert Fusion Model for Node Classification: Based on Cora and Pubmed Datasets
by: Ma, Zihang, et al.
Published: (2025)
by: Ma, Zihang, et al.
Published: (2025)
Weighted Graph Structure Learning with Attention Denoising for Node Classification
by: Wang, Tingting, et al.
Published: (2025)
by: Wang, Tingting, et al.
Published: (2025)
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
by: Li, Hongkang, et al.
Published: (2024)
by: Li, Hongkang, et al.
Published: (2024)
Mixture of Message Passing Experts with Routing Entropy Regularization for Node Classification
by: Chen, Xuanze, et al.
Published: (2025)
by: Chen, Xuanze, et al.
Published: (2025)
Improving Transformers using Faithful Positional Encoding
by: Idé, Tsuyoshi, et al.
Published: (2024)
by: Idé, Tsuyoshi, et al.
Published: (2024)
PaTH Attention: Position Encoding via Accumulating Householder Transformations
by: Yang, Songlin, et al.
Published: (2025)
by: Yang, Songlin, et al.
Published: (2025)
Fusion Matters: Length-Aware Analysis of Positional-Encoding Fusion in Transformers
by: Hallam, Mohamed Amine, et al.
Published: (2026)
by: Hallam, Mohamed Amine, et al.
Published: (2026)
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
by: Choromanski, Krzysztof Marcin, et al.
Published: (2023)
by: Choromanski, Krzysztof Marcin, et al.
Published: (2023)
Rotary Position Encodings for Graphs
by: Reid, Isaac, et al.
Published: (2025)
by: Reid, Isaac, et al.
Published: (2025)
What Are Good Positional Encodings for Directed Graphs?
by: Huang, Yinan, et al.
Published: (2024)
by: Huang, Yinan, et al.
Published: (2024)
RelFlexformer: Efficient Attention 3D-Transformers for Integrable Relative Positional Encodings
by: Kim, Byeongchan, et al.
Published: (2026)
by: Kim, Byeongchan, et al.
Published: (2026)
Learning Laplacian Positional Encodings for Heterophilous Graphs
by: Ito, Michael, et al.
Published: (2025)
by: Ito, Michael, et al.
Published: (2025)
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes
by: Wang, Qian, et al.
Published: (2024)
by: Wang, Qian, et al.
Published: (2024)
LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
by: Amboage, Juan, et al.
Published: (2025)
by: Amboage, Juan, et al.
Published: (2025)
Improving Position Encoding of Transformers for Multivariate Time Series Classification
by: Foumani, Navid Mohammadi, et al.
Published: (2023)
by: Foumani, Navid Mohammadi, et al.
Published: (2023)
DHIL-GT: Scalable Graph Transformer with Decoupled Hierarchy Labeling
by: Liao, Ningyi, et al.
Published: (2024)
by: Liao, Ningyi, et al.
Published: (2024)
Energy-Gated Attention and Wavelet Positional Encoding: Complementary Inductive Biases for Transformer Attention
by: Zeris, Athanasios
Published: (2026)
by: Zeris, Athanasios
Published: (2026)
On the Geometry of Positional Encodings in Transformers
by: Cirrincione, Giansalvo
Published: (2026)
by: Cirrincione, Giansalvo
Published: (2026)
On the Stability of Expressive Positional Encodings for Graphs
by: Huang, Yinan, et al.
Published: (2023)
by: Huang, Yinan, et al.
Published: (2023)
Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification
by: Jiang, Qin, et al.
Published: (2026)
by: Jiang, Qin, et al.
Published: (2026)
Similar Items
-
Rethinking Tokenized Graph Transformers for Node Classification
by: Chen, Jinsong, et al.
Published: (2025) -
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
by: Chen, Jinsong, et al.
Published: (2024) -
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification
by: Chen, Jinsong, et al.
Published: (2024) -
FedGT: Federated Node Classification with Scalable Graph Transformer
by: Zhang, Zaixi, et al.
Published: (2024) -
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
by: He, Kun, et al.
Published: (2025)