Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Directed graph neural networks (DGNNs) have garnered increasing interest, yet few studies have focused on node-level representation in directed graphs. In this paper, we argue that different nodes rely on neighbor information from different direction...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Federated learning collaborates with multiple clients to train a global model, enhancing the model generalization while allowing the local data transmission-free and security. However, federated learning currently faces three intractable challenges: ...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
The rehearsal-based continual learning methods usually involve reviewing a small number of representative samples to enable the network to learn new contents while retaining old knowledge. However, existing works overlook two crucial factors: (1) Whi...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
In the domain of Few-shot Relation Extraction (FSRE), the primary objective is to distill relational facts from limited labeled datasets. This task has recently witnessed significant advancements through the integration of Pre-trained Language Models...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Knowledge Tracing (KT), as a pivotal technology in intelligent education systems, analyzes students' learning data to infer their knowledge acquisition and predict their future performance. Recent advancements in KT recognize the importance of memory...
Proceedings of the National Academy of Sciences of the United States of America
Jun 24, 2025
Inspired by the challenges at the intersection of Evolutionary Game Theory and Machine Learning, we investigate a class of discrete-time multiagent reinforcement learning (MARL) dynamics in population/nonatomic congestion games, where agents have div...
Scientific reports
Jun 1, 2025
Negative academic emotions reflect the negative experiences that learners encounter during the learning process. This study aims to explore the effectiveness of machine learning algorithms in predicting high school students' negative academic emotion...
American journal of pharmaceutical education
Jun 1, 2025
The integration of generative artificial intelligence (AI) holds the potential to impact teaching and learning. In this commentary, we explore the opportunity for AI to enhance reflective writing (RW) among student pharmacists. AI-guided RW has the p...
Acta psychologica
Jun 1, 2025
The integration of artificial intelligence (AI) into educational tools is transforming learning environments by enabling personalized experiences. This study explores the effectiveness of AI-based educational interfaces, comparing humanoid avatar tut...
International journal of neural systems
Jun 1, 2025
Deep neural networks struggle with incremental updates due to catastrophic forgetting, where newly acquired knowledge interferes with the learned previously. Continual learning (CL) methods aim to overcome this limitation by effectively updating the ...