Cross-attentive Cohesive Subgraph Embedding to Mitigate Oversquashing in GNNs
Fuente:
arXiv
Saved in:
| Main Authors: | Hossain, Tanvir, Islam, Muhammad Ifte Khairul, Chebbah, Lilia, Fanning, Charles, Akbas, Esra |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach
by: Hossain, Tanvir, et al.
Published: (2024)
by: Hossain, Tanvir, et al.
Published: (2024)
DyGCL: Dynamic Graph Contrastive Learning For Event Prediction
by: Islam, Muhammed Ifte Khairul, et al.
Published: (2024)
by: Islam, Muhammed Ifte Khairul, et al.
Published: (2024)
Short-Range Oversquashing
by: Mishayev, Yaaqov, et al.
Published: (2025)
by: Mishayev, Yaaqov, et al.
Published: (2025)
Graph Contrastive Learning with Cohesive Subgraph Awareness
by: Wu, Yucheng, et al.
Published: (2024)
by: Wu, Yucheng, et al.
Published: (2024)
HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views
by: Saifuddin, Khaled Mohammed, et al.
Published: (2025)
by: Saifuddin, Khaled Mohammed, et al.
Published: (2025)
Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach
by: Zeng, Qian, et al.
Published: (2025)
by: Zeng, Qian, et al.
Published: (2025)
Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
by: Hossen, Md Sazzad, et al.
Published: (2026)
by: Hossen, Md Sazzad, et al.
Published: (2026)
TLoRA: Tri-Matrix Low-Rank Adaptation of Large Language Models
by: Islam, Tanvir
Published: (2025)
by: Islam, Tanvir
Published: (2025)
Extended Histogram-based Outlier Score (EHBOS)
by: Islam, Tanvir
Published: (2025)
by: Islam, Tanvir
Published: (2025)
VISP: Volatility Informed Stochastic Projection for Adaptive Regularization
by: Islam, Tanvir
Published: (2025)
by: Islam, Tanvir
Published: (2025)
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
by: Alvarez-Gonzalez, Nurudin, et al.
Published: (2023)
by: Alvarez-Gonzalez, Nurudin, et al.
Published: (2023)
WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models
by: Islam, Md. Khairul, et al.
Published: (2024)
by: Islam, Md. Khairul, et al.
Published: (2024)
Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
by: Kim, Dongkwan, et al.
Published: (2022)
by: Kim, Dongkwan, et al.
Published: (2022)
Bayesian Regression for Predicting Subscription to Bank Term Deposits in Direct Marketing Campaigns
by: Tanvir, Muhammad Farhan, et al.
Published: (2024)
by: Tanvir, Muhammad Farhan, et al.
Published: (2024)
On the Complexity of Optimal Graph Rewiring for Oversmoothing and Oversquashing in Graph Neural Networks
by: Chehreghani, Mostafa Haghir
Published: (2026)
by: Chehreghani, Mostafa Haghir
Published: (2026)
Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity
by: Thapaliya, Bishal, et al.
Published: (2025)
by: Thapaliya, Bishal, et al.
Published: (2025)
Branching Strategies Based on Subgraph GNNs: A Study on Theoretical Promise versus Practical Reality
by: Zhou, Junru, et al.
Published: (2025)
by: Zhou, Junru, et al.
Published: (2025)
Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
by: Arnaiz-Rodriguez, Adrian, et al.
Published: (2025)
by: Arnaiz-Rodriguez, Adrian, et al.
Published: (2025)
Large Language Models for Financial Aid in Financial Time-series Forecasting
by: Islam, Md Khairul, et al.
Published: (2024)
by: Islam, Md Khairul, et al.
Published: (2024)
Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey
by: Attali, Hugo, et al.
Published: (2026)
by: Attali, Hugo, et al.
Published: (2026)
Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey
by: Attali, Hugo, et al.
Published: (2024)
by: Attali, Hugo, et al.
Published: (2024)
Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning
by: Xie, Shifeng, et al.
Published: (2025)
by: Xie, Shifeng, et al.
Published: (2025)
DS-Span: Single-Phase Discriminative Subgraph Mining for Efficient Graph Embeddings
by: Kaiser, Yeamin, et al.
Published: (2025)
by: Kaiser, Yeamin, et al.
Published: (2025)
Adaptive Graph Rewiring to Mitigate Over-Squashing in Mesh-Based GNNs for Fluid Dynamics Simulations
by: Seo, Sangwoo, et al.
Published: (2025)
by: Seo, Sangwoo, et al.
Published: (2025)
Beyond Oversquashing: Understanding Signal Propagation in GNNs Via Observables
by: Nagar, Eden, et al.
Published: (2026)
by: Nagar, Eden, et al.
Published: (2026)
Learning-based estimation of cattle weight gain and its influencing factors
by: Hossain, Muhammad Riaz Hasib, et al.
Published: (2025)
by: Hossain, Muhammad Riaz Hasib, et al.
Published: (2025)
Mob-based cattle weight gain forecasting using ML models
by: Hossain, Muhammad Riaz Hasib, et al.
Published: (2025)
by: Hossain, Muhammad Riaz Hasib, et al.
Published: (2025)
On the Expressive Power of GNNs for Boolean Satisfiability
by: Peltonen, Saku, et al.
Published: (2026)
by: Peltonen, Saku, et al.
Published: (2026)
Unsupervised Optimisation of GNNs for Node Clustering
by: Leeney, William, et al.
Published: (2024)
by: Leeney, William, et al.
Published: (2024)
Acceleration Algorithms in GNNs: A Survey
by: Ma, Lu, et al.
Published: (2024)
by: Ma, Lu, et al.
Published: (2024)
Benchmarking Positional Encodings for GNNs and Graph Transformers
by: Grötschla, Florian, et al.
Published: (2024)
by: Grötschla, Florian, et al.
Published: (2024)
Binarizing Physics-Inspired GNNs for Combinatorial Optimization
by: Krutský, Martin, et al.
Published: (2025)
by: Krutský, Martin, et al.
Published: (2025)
Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data
by: Thapaliya, Bishal, et al.
Published: (2023)
by: Thapaliya, Bishal, et al.
Published: (2023)
Multi-layer Cross-attention is Provably Optimal for Multi-modal In-context Learning
by: Barnfield, Nicholas, et al.
Published: (2026)
by: Barnfield, Nicholas, et al.
Published: (2026)
Subgraph Networks Based Contrastive Learning
by: Wang, Jinhuan, et al.
Published: (2023)
by: Wang, Jinhuan, et al.
Published: (2023)
Subgraph Federated Learning for Local Generalization
by: Kim, Sungwon, et al.
Published: (2025)
by: Kim, Sungwon, et al.
Published: (2025)
Reorganizing attention-space geometry with expressive attention
by: Gros, Claudius
Published: (2024)
by: Gros, Claudius
Published: (2024)
Understanding and Improving Laplacian Positional Encodings For Temporal GNNs
by: Galron, Yaniv, et al.
Published: (2025)
by: Galron, Yaniv, et al.
Published: (2025)
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
by: Guo, Kai, et al.
Published: (2024)
by: Guo, Kai, et al.
Published: (2024)
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy
by: Xue, Ruizhan, et al.
Published: (2025)
by: Xue, Ruizhan, et al.
Published: (2025)
Similar Items
-
Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach
by: Hossain, Tanvir, et al.
Published: (2024) -
DyGCL: Dynamic Graph Contrastive Learning For Event Prediction
by: Islam, Muhammed Ifte Khairul, et al.
Published: (2024) -
Short-Range Oversquashing
by: Mishayev, Yaaqov, et al.
Published: (2025) -
Graph Contrastive Learning with Cohesive Subgraph Awareness
by: Wu, Yucheng, et al.
Published: (2024) -
HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views
by: Saifuddin, Khaled Mohammed, et al.
Published: (2025)