over smoothing

Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching ICML 2025 A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks ICML 2025 Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models ICML 2025 On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks ICML 2025 Delaunay Graph: Addressing Over-Squashing and Over-Smoothing Using Delaunay Triangulation ICML 2024 GATE: How to Keep Out Intrusive Neighbors ICML 2024 How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing ICML 2024 Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs ICML 2024 Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing ICML 2024 Polynomial-based Self-Attention for Table Representation Learning ICML 2024 Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs ICML 2024 Understanding Heterophily for Graph Neural Networks ICML 2024 Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach AAAI 2020