Adaptive Edge Learning for Density-Aware Graph Generation
arXiv:2601.23052v1 Announce Type: cross Abstract: Generating realistic graph-structured data is challenging due to discrete structures, variable sizes, and class-specific connectivity…
arXiv:2601.23052v1 Announce Type: cross Abstract: Generating realistic graph-structured data is challenging due to discrete structures, variable sizes, and class-specific connectivity…
arXiv:2601.21795v2 Announce Type: replace-cross Abstract: Low-rank adaptation (LoRA) enables parameter efficient specialization of large language models (LLMs) through modular adapters,…