Graph Representation Learning
PulseAugur coverage of Graph Representation Learning — every cluster mentioning Graph Representation Learning across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Survey details methods for Dynamic Heterogeneous Graph Representation Learning
This survey provides a comprehensive overview of methods for learning representations of Dynamic Heterogeneous Graphs (DHGs). It introduces a unified definition for DHGs, categorizing existing approaches into embedding-…
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Robots learn from past teamwork to boost urban rescue success · arXiv research
A new research paper explores how robots can improve teamwork in urban search and rescue (USAR) scenarios by utilizing episodic memories of past collaborations. By representing historical collaboration patterns as knowl…
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New AugMP strategy targets federated fine-tuning of LLMs
Researchers have developed a new strategy called Augmented Model Manipulation (AugMP) to attack federated fine-tuning (FFT) of large language models (LLMs). This method uses graph representation learning to identify cor…