Image de couverture de livre

On the Two Sides of Redundancy in Graph Neural Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bause, Franka, Moustafa, Samir, Langguth, Johannes, Gansterer, Wilfried N., Kriege, Nils M.
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Efficient Mixed Precision Quantization in Graph Neural Networks
par: Moustafa, Samir, et autres
Publié: (2025)

Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks
par: Kummer, Lorenz, et autres
Publié: (2025)

Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent
par: Kummer, Lorenz, et autres
Publié: (2023)

Visualization and Analysis of the Loss Landscape in Graph Neural Networks
par: Moustafa, Samir, et autres
Publié: (2025)

Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win
par: Kummer, Lorenz, et autres
Publié: (2025)

On the Relationship Between Robustness and Expressivity of Graph Neural Networks
par: Kummer, Lorenz, et autres
Publié: (2025)

Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph
par: Roth, Andreas, et autres
Publié: (2024)

XIMP: Cross Graph Inter-Message Passing for Molecular Property Prediction
par: Ehrlich, Anatol, et autres
Publié: (2026)

Boosting Graph Neural Network Expressivity with Learnable Lanczos Constraints
par: Azizi, Niloofar, et autres
Publié: (2024)

Multi-Agent Systems are Mixtures of Experts: Who Becomes an Influencer?
par: Bause, Franka, et autres
Publié: (2026)

Accelerating Graph Neural Networks with a Novel Matrix Compression Format
par: Alves, João N. F., et autres
Publié: (2024)

Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
par: Lu, Jielong, et autres
Publié: (2025)

Exploiting the Structure of Two Graphs with Graph Neural Networks
par: Tenorio, Victor M., et autres
Publié: (2024)

Graph Neural Networks on Discriminative Graphs of Words
par: Abbahaddou, Yassine, et autres
Publié: (2024)

Group-Feature (Sensor) Selection With Controlled Redundancy Using Neural Networks
par: Saha, Aytijhya, et autres
Publié: (2023)

Gaussian Process Regression -- Neural Network Hybrid with Optimized Redundant Coordinates
par: Manzhos, Sergei, et autres
Publié: (2025)

Semi-Supervised Learning on Graphs using Graph Neural Networks
par: Chen, Juntong, et autres
Publié: (2026)

SHAKE-GNN: Scalable Hierarchical Kirchhoff-Forest Graph Neural Network
par: Cui, Zhipu, et autres
Publié: (2025)

Hallmarks of Optimization Trajectories in Neural Networks: Directional Exploration and Redundancy
par: Singh, Sidak Pal, et autres
Publié: (2024)

Hybrid-Quantum Neural Architecture Search for The Proximal Policy Optimization Algorithm
par: Zada, Moustafa
Publié: (2025)

A Spectral Interpretation of Redundancy in a Graph Reservoir
par: Bison, Anna, et autres
Publié: (2025)

The Unreasonable Effectiveness of Solving Inverse Problems with Neural Networks
par: Holl, Philipp, et autres
Publié: (2024)

A Simple and Yet Fairly Effective Defense for Graph Neural Networks
par: Ennadir, Sofiane, et autres
Publié: (2024)

Redundancy-Aware Test-Time Graph Out-of-Distribution Detection
par: Hou, Yue, et autres
Publié: (2025)

Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks
par: Qin, Zheyi, et autres
Publié: (2023)

Stuart-Landau Oscillatory Graph Neural Network
par: Zhang, Kaicheng, et autres
Publié: (2025)

RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively
par: Lu, Yao, et autres
Publié: (2024)

Channel-Attentive Graph Neural Networks
par: Karabulut, Tuğrul Hasan, et autres
Publié: (2025)

Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling
par: Zhu, Dingyuan, et autres
Publié: (2024)

Flow-Attentional Graph Neural Networks
par: Plettenberg, Pascal, et autres
Publié: (2025)

Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks
par: Ancelotti, Amy, et autres
Publié: (2024)

Invariant-Stratified Propagation for Expressive Graph Neural Networks
par: Hevapathige, Asela, et autres
Publié: (2026)

GemNet: Universal Directional Graph Neural Networks for Molecules
par: Gasteiger, Johannes, et autres
Publié: (2021)

Multimodal Graph Neural Networks for Prognostic Modeling of Brain Network Reorganization
par: Girish, Preksha, et autres
Publié: (2025)

Centrality Graph Shift Operators for Graph Neural Networks
par: Abbahaddou, Yassine, et autres
Publié: (2024)

Bounded Graph Clustering with Graph Neural Networks
par: Neocosmos, Kibidi, et autres
Publié: (2025)

Graph Kernel Neural Networks
par: Cosmo, Luca, et autres
Publié: (2021)

Credal Graph Neural Networks
par: Tolloso, Matteo, et autres
Publié: (2025)

Memorization in Graph Neural Networks
par: Jamadandi, Adarsh, et autres
Publié: (2025)

Graph Variate Neural Networks
par: Roy, Om, et autres
Publié: (2025)