Bridging Computational Social Science and Deep Learning: Cultural Dissemination-Inspired Graph Neural Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Hevapathige, Asela
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Permutation-Invariant Graph Partitioning:How Graph Neural Networks Capture Structural Interactions?
di: Hevapathige, Asela, et al.
Pubblicazione: (2023)

Depth-Adaptive Graph Neural Networks via Learnable Bakry-'Emery Curvature
di: Hevapathige, Asela, et al.
Pubblicazione: (2025)

Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily
di: Hevapathige, Asela, et al.
Pubblicazione: (2025)

Graph Neural Diffusion via Generalized Opinion Dynamics
di: Hevapathige, Asela, et al.
Pubblicazione: (2025)

AxelSMOTE: An Agent-Based Oversampling Algorithm for Imbalanced Classification
di: Kishanthan, Sukumar, et al.
Pubblicazione: (2025)

DeepSN: A Sheaf Neural Framework for Influence Maximization
di: Hevapathige, Asela, et al.
Pubblicazione: (2024)

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification
di: Kishanthan, Sukumar, et al.
Pubblicazione: (2025)

Orthogonal Activation with Implicit Group-Aware Bias Learning for Class Imbalance
di: Kishanthan, Sukumar, et al.
Pubblicazione: (2025)

Invariant-Stratified Propagation for Expressive Graph Neural Networks
di: Hevapathige, Asela, et al.
Pubblicazione: (2026)

Bridging Theory and Practice in Link Representation with Graph Neural Networks
di: Lachi, Veronica, et al.
Pubblicazione: (2025)

Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity
di: Chen, Qin, et al.
Pubblicazione: (2025)

Deep Graph Neural Point Process For Learning Temporal Interactive Networks
di: Chen, Su, et al.
Pubblicazione: (2025)

Graph Neural Network contextual embedding for Deep Learning on Tabular Data
di: Villaizán-Vallelado, Mario, et al.
Pubblicazione: (2023)

Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Training
di: Ma, Yuhan, et al.
Pubblicazione: (2024)

A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
di: Chakraborty, Biswadeep, et al.
Pubblicazione: (2024)

SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks
di: Huang, Zhenhua, et al.
Pubblicazione: (2024)

LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
di: Apolinario, Marco Paul E., et al.
Pubblicazione: (2024)

Layer Embedding Deep Fusion Graph Neural Network
di: Xu, Taihua, et al.
Pubblicazione: (2026)

Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud
di: Cui, Rongkun, et al.
Pubblicazione: (2026)

Graph Neural Networks for Learning Equivariant Representations of Neural Networks
di: Kofinas, Miltiadis, et al.
Pubblicazione: (2024)

From Specification to Architecture: A Theory Compiler for Knowledge-Guided Machine Learning
di: Hevapathige, Asela, et al.
Pubblicazione: (2026)

Graph Neural Networks on Quantum Computers
di: Liao, Yidong, et al.
Pubblicazione: (2024)

Learning Dynamics of Deep Learning -- Force Analysis of Deep Neural Networks
di: Ren, Yi
Pubblicazione: (2025)

GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
di: Younesian, Taraneh, et al.
Pubblicazione: (2023)

Learning to Execute Graph Algorithms Exactly with Graph Neural Networks
di: Qharabagh, Muhammad Fetrat, et al.
Pubblicazione: (2026)

Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
di: Muschalik, Maximilian, et al.
Pubblicazione: (2025)

Towards Scalable and Deep Graph Neural Networks via Noise Masking
di: Liang, Yuxuan, et al.
Pubblicazione: (2024)

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

CoDCL: Counterfactual-Inspired Augmentation Contrastive Learning for Temporal Link Prediction in Social Networks
di: Feng, Hantong, et al.
Pubblicazione: (2026)

Learning from Historical Activations in Graph Neural Networks
di: Galron, Yaniv, et al.
Pubblicazione: (2026)

Graph Neural Diffusion Networks for Semi-supervised Learning
di: Ye, Wei, et al.
Pubblicazione: (2022)

Introduction to Graph Neural Networks for Machine Learning Engineers
di: Tanis, James H., et al.
Pubblicazione: (2024)

GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy
di: Peng, Tianhao, et al.
Pubblicazione: (2023)

Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
di: Fang, Ronglong, et al.
Pubblicazione: (2024)

Bridging Philosophy and Machine Learning: A Structuralist Framework for Classifying Neural Network Representations
di: Culcu, Yildiz
Pubblicazione: (2025)

PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
di: Dai, Enyan, et al.
Pubblicazione: (2024)

SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network
di: Zhu, Yushan, et al.
Pubblicazione: (2024)

Graphs Unveiled: Graph Neural Networks and Graph Generation
di: Kovács, László, et al.
Pubblicazione: (2024)

L2XGNN: Learning to Explain Graph Neural Networks
di: Serra, Giuseppe, et al.
Pubblicazione: (2022)

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
di: Su, Junwei, et al.
Pubblicazione: (2024)