GitHub

atlaskv_augmenting_llms_with_billion-scale_knowledge_graphs_in_20gb_vram.md

description [ICLR2026][Graph Learning][Knowledge Graph Augmentation] AtlasKV directly converts each triple in a knowledge graph (KG) into Q-K-V data for injection into LLMs via attention. By employing ...
IEEE

Torsion Graph Neural Networks

Abstract: Geometric deep learning (GDL) models have demonstrated a great potential for the analysis of non-Euclidian data. They are developed to incorporate the geometric and topological information ...
IEEE

HGNN-GAMS: Heterogeneous Graph Neural Networks for Graph Attribute Mining and Semantic Fusion

Abstract: Heterogeneous Graph Neural Networks (HGNNs) have attracted significant research attention in recent years due to their ability to capture complex interactions among various node types in ...