:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Qin, Xihan, Liao, Li
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2503.03046
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Disease Comorbidity Prediction Based on Human Interactome with Biologically Supervised Graph Embedding
by: Qin, Xihan, et al.
Published: (2024)

Efficient Graph Encoder Embedding for Large Sparse Graphs in Python
by: Qin, Xihan, et al.
Published: (2024)

Improving Transformers using Faithful Positional Encoding
by: Idé, Tsuyoshi, et al.
Published: (2024)

Graph Transformers without Positional Encodings
by: Garg, Ayush
Published: (2024)

Comparing Graph Transformers via Positional Encodings
by: Black, Mitchell, et al.
Published: (2024)

What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
by: Li, Hongkang, et al.
Published: (2024)

Benchmarking Positional Encodings for GNNs and Graph Transformers
by: Grötschla, Florian, et al.
Published: (2024)

Size Transferability of Graph Transformers with Convolutional Positional Encodings
by: Porras-Valenzuela, Javier, et al.
Published: (2026)

Tab-PET: Graph-Based Positional Encodings for Tabular Transformers
by: Leng, Yunze, et al.
Published: (2025)

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
by: Wang, Zhe, et al.
Published: (2024)

Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
by: Alvarez-Gonzalez, Nurudin, et al.
Published: (2023)

Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
by: Du, Haotong, et al.
Published: (2024)

What Are Good Positional Encodings for Directed Graphs?
by: Huang, Yinan, et al.
Published: (2024)

On the Geometry of Positional Encodings in Transformers
by: Cirrincione, Giansalvo
Published: (2026)

Improving Position Encoding of Transformers for Multivariate Time Series Classification
by: Foumani, Navid Mohammadi, et al.
Published: (2023)

On the Stability of Expressive Positional Encodings for Graphs
by: Huang, Yinan, et al.
Published: (2023)

Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
by: Bar-Shalom, Guy, et al.
Published: (2024)

Rotary Position Encodings for Graphs
by: Reid, Isaac, et al.
Published: (2025)

DAM-GT: Dual Positional Encoding-Based Attention Masking Graph Transformer for Node Classification
by: Li, Chenyang, et al.
Published: (2025)

Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
by: Choromanski, Krzysztof Marcin, et al.
Published: (2023)

Learning Laplacian Positional Encodings for Heterophilous Graphs
by: Ito, Michael, et al.
Published: (2025)

Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding
by: Ma, Qian, et al.
Published: (2025)

Learning Efficient Positional Encodings with Graph Neural Networks
by: Kanatsoulis, Charilaos I., et al.
Published: (2025)

Learnable Spatial-Temporal Positional Encoding for Link Prediction
by: Tieu, Katherine, et al.
Published: (2025)

Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
by: Liu, Bowen, et al.
Published: (2024)

A Conjoint Graph Representation Learning Framework for Hypertension Comorbidity Risk Prediction
by: Zhou, Leming, et al.
Published: (2025)

GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention
by: Yan, Junchi, et al.
Published: (2024)

Supra-Laplacian Encoding for Transformer on Dynamic Graphs
by: Karmim, Yannis, et al.
Published: (2024)

LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
by: Amboage, Juan, et al.
Published: (2025)

Understanding and Improving Laplacian Positional Encodings For Temporal GNNs
by: Galron, Yaniv, et al.
Published: (2025)

Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
by: Lagesse, Adrien, et al.
Published: (2025)

Positional Encoding in Transformer-Based Time Series Models: A Survey
by: Irani, Habib, et al.
Published: (2025)

Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers
by: Shimizu, Atsushi, et al.
Published: (2026)

Deep Generative Models for Subgraph Prediction
by: Mahmoudzadeh, Erfaneh, et al.
Published: (2024)

SeqPE: Transformer with Sequential Position Encoding
by: Li, Huayang, et al.
Published: (2025)

Group Representational Position Encoding
by: Zhang, Yifan, et al.
Published: (2025)

Circuit Transformer: A Transformer That Preserves Logical Equivalence
by: Li, Xihan, et al.
Published: (2024)

Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks?
by: Nimase, Ojas, et al.
Published: (2026)

Towards Subgraph Isomorphism Counting with Graph Kernels
by: Liu, Xin, et al.
Published: (2024)

Simple Path Structural Encoding for Graph Transformers
by: Airale, Louis, et al.
Published: (2025)