Results 161 to 170 of about 24,295 (253)

PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction. [PDF]

PLoS Comput Biol
Yan K, Li M, Chen S, Liu T, Hao J, Liu B, Li Z.   +6 more
europepmc   +1 more source

CF‐SBERTHet: Collaborative and Textual Knowledge Enhanced Semantic Graphs for Sparse Recommendations

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Modern e‐commerce platforms face a critical challenge: delivering accurate recommendations under extreme user–item interaction sparsity, where textual context remains systematically underutilised. Existing collaborative filtering methods degrade sharply in sparse settings, while semantic approaches fail to capture collaborative patterns ...
He Ma, Maryam Khanian Najafabadi, Qiyang Wu, WeiPing Kong, Huajun Jie, Fanye Sun, Xiaoyue Bai, Mohammadhossein Ahmadi   +7 more
wiley   +1 more source

DengueGNN: Graph-based deep learning for modeling disease spread dynamics and prediction. [PDF]

Sci Rep
GulMohamed RB, Hetany W, Almaimani HA, Khiery FAS.   +3 more
europepmc   +1 more source

Graph‐based imitation and reinforcement learning for efficient Benders decomposition

AIChE Journal, Volume 72, Issue 6, June 2026.
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman, Zhe Li, Ilias Mitrai, Prodromos Daoutidis   +3 more
wiley   +1 more source

Topological Graph Neural Networks: A Novel Approach for Geometric Deep Learning

Applied AI Letters, Volume 7, Issue 2, June 2026.
This graphical abstract illustrates the Topological Graph Neural Network (TopGNN) architecture. It demonstrates a parallel processing approach where an input graph is simultaneously analyzed by a standard GNN Encoder to capture local node features and by Persistent Homology to extract global topological features (like cycles and voids), visualized as a
Amarjeet, Anurag Sinha, Khalid Hussain, Wasim Ahmad Bhat, Sudhanshu Maurya, Mohammad Nadeem Ahmed, Mohammad Rashid Hussain, S. Khalid   +7 more
wiley   +1 more source

Consumer credit evaluation model for free trade ports by a sparse attention transformer and graph neural network. [PDF]

Sci Rep
Wu M, Sabri MF, Meng C, Wang S.
europepmc   +1 more source

A Bibliometric Analysis of Process Mining

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Process mining studies with numbers. ABSTRACT Process mining (PM) has emerged as a pivotal discipline in data science, bridging traditional process analysis with data‐driven techniques to extract actionable insights from event logs. This study conducts a comprehensive bibliometric analysis of 1764 peer‐reviewed articles from the Web of Science database
Seyfullah Tokumaci, Onur Dogan, Oguzhan Ozturk   +2 more
wiley   +1 more source

Parameter Estimation from Phylogenetic Trees Using Neural Networks and Ensemble Learning. [PDF]

Syst Biol
Qin T, van Benthem KJ, Valente L, Etienne RS.   +3 more
europepmc   +1 more source

Recommender Systems: Taxonomy, Applications and Current Research Trends

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Integrating taxonomy, application developments, open‐source software, and publication trends, this paper identifies and outlines promising future directions for recommender systems research. ABSTRACT Recommender Systems play an essential role in assisting users to navigate the immense amount of information and services available online, aiding them in ...
Daniel Ranchal‐Parrado, Carlos Porcel, Jesús Alcalá‐Fdez   +2 more
wiley   +1 more source

Graph Neural Networks Model Based on Atomic Hybridization for Predicting Drug Targets. [PDF]

J Chem Inf Model
Mohamed A, Galal N, Brooks BR, Amin M.
europepmc   +1 more source