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Found 4 papers, 1 papers with code
Low-Rank Knowledge Decomposition for Medical Foundation Models
The popularity of large-scale pre-training has promoted the development of medical foundation models.
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
The simple yet effective network consists of a semantic encoder, a topology encoder, and an attention fusion module.
GPINN: Physics-informed Neural Network with Graph Embedding
This work proposes a Physics-informed Neural Network framework with Graph Embedding (GPINN) to perform PINN in graph, i. e. topological space instead of traditional Euclidean space, for improved problem-solving efficiency.
Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective
Human interpretation of the world encompasses the use of symbols to categorize sensory inputs and compose them in a hierarchical manner.
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