AIMC Topic: Knowledge

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Generative commonsense knowledge subgraph retrieval for open-domain dialogue response generation.

Neural networks : the official journal of the International Neural Network Society Aug 24, 2024
Grounding on a commonsense knowledge subgraph can help the model generate more informative and diverse dialogue responses. Prior Traverse-based works explicitly retrieve a subgraph from the external knowledge base (eKB). Notably, the available knowle...
Algorithms Language Humans Neural Networks, Computer Information Storage and Retrieval Knowledge Natural Language Processing Knowledge Bases
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Harnessing collective structure knowledge in data augmentation for graph neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 23, 2024
Graph neural networks (GNNs) have achieved state-of-the-art performance in graph representation learning. Message passing neural networks, which learn representations through recursively aggregating information from each node and its neighbors, are a...
Machine Learning Algorithms Knowledge Computer Graphics Humans Neural Networks, Computer
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Data-free knowledge distillation via generator-free data generation for Non-IID federated learning.

Neural networks : the official journal of the International Neural Network Society Aug 10, 2024
Data heterogeneity (Non-IID) on Federated Learning (FL) is currently a widely publicized problem, which leads to local model drift and performance degradation. Because of the advantage of knowledge distillation, it has been explored in some recent wo...
Neural Networks, Computer Algorithms Machine Learning Knowledge
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Integrating knowledge graphs into machine learning models for survival prediction and biomarker discovery in patients with non-small-cell lung cancer.

Journal of translational medicine Aug 5, 2024
Accurate survival prediction for Non-Small Cell Lung Cancer (NSCLC) patients remains a significant challenge for the scientific and clinical community despite decades of advanced analytics. Addressing this challenge not only helps inform the critical...
Humans Machine Learning Prognosis Mutation Lung Neoplasms Clinical Trials as Topic Knowledge Biomarkers, Tumor Survival Analysis Carcinoma, Non-Small-Cell Lung Proportional Hazards Models Computer Graphics
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Decoupled graph knowledge distillation: A general logits-based method for learning MLPs on graphs.

Neural networks : the official journal of the International Neural Network Society Jul 23, 2024
While Graph Neural Networks (GNNs) have demonstrated their effectiveness in processing non-Euclidean structured data, the neighborhood fetching of GNNs is time-consuming and computationally intensive, making them difficult to deploy in low-latency in...
Knowledge Algorithms Logistic Models Neural Networks, Computer Machine Learning
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GCReID: Generalized continual person re-identification via meta learning and knowledge accumulation.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
Person re-identification (ReID) has made good progress in stationary domains. The ReID model must be retrained to adapt to new scenarios (domains) as they emerge unexpectedly, which leads to catastrophic forgetting. Continual learning trains the mode...
Neural Networks, Computer Machine Learning Algorithms Learning Humans Generalization, Psychological Biometric Identification Knowledge
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PLEASING: Exploring the historical and potential events for temporal knowledge graph reasoning.

Neural networks : the official journal of the International Neural Network Society Jul 6, 2024
Temporal Knowledge Graphs (TKGs) enable effective modeling of knowledge dynamics and event evolution, facilitating deeper insights and analysis into temporal information. Recently, extrapolation of TKG reasoning has attracted great significance due t...
Semantics Knowledge Neural Networks, Computer Humans Machine Learning Algorithms Time Factors
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Knowledge graph revision in the context of unknown knowledge.

PloS one Jul 5, 2024
The role of knowledge graph encompasses the representation, organization, retrieval, reasoning, and application of knowledge, providing a rich and robust cognitive foundation for artificial intelligence systems and applications. When we learn new thi...
Knowledge Software Humans Algorithms Artificial Intelligence
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Assessing AI receptivity through a persuasion knowledge lens.

Current opinion in psychology Jun 26, 2024
Understanding human-artificial intelligence (AI) interactions is a growing academic interest. This article conceptualizes AI as a persuasion agent and reviews the recent literature on AI through the lens of persuasion knowledge. It presents research ...
Humans Artificial Intelligence Persuasive Communication Knowledge
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Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment.

Neural networks : the official journal of the International Neural Network Society Jun 20, 2024
Multi-Modal Entity Alignment (MMEA), aiming to discover matching entity pairs on two multi-modal knowledge graphs (MMKGs), is an essential task in knowledge graph fusion. Through mining feature information of MMKGs, entities are aligned to tackle the...
Data Mining Humans Knowledge Neural Networks, Computer Algorithms
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