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Graph Neural Networks (GNNs) update node representations through message passing, which is primarily based on the homophily principle, assuming that adjacent nodes share similar features. However, in ...
Missiongnn: Hierarchical Multimodal GNN-Based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation ...
Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this ...
Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...
Yaxin Hou, Yuheng Jia, A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning, International Conference on Machine Learning, 13th-19th July, Vancouver, 2025. This is an ...