GitHub

Making Large Language Models Perform Better in Knowledge Graph Completion

Large language model (LLM) based knowledge graph completion (KGC) aims to predict the missing triples in the KGs with LLMs and enrich the KGs to become better web infrastructure, which can benefit a ...
GitHub

Vision Graph Prompting via Semantic Low-Rank Decomposition

Official implementation of 'Vision Graph Prompting via Semantic Low-Rank Decomposition'. The paper has been accepted by ICML 2025. Vision GNN (ViG) demonstrates superior performance by representing ...
CNET

How You Can Print PDFs, Websites or Any Document Using Your iPhone

Your iPhone can connect to most printers, just like a computer, and with a few taps, it can print out the documents you need. I started my career with CNET all the way back in 2005, when the (original ...
IEEE

CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks

Abstract: Graph neural networks (GNNs) have advanced graph classification tasks, where a global pooling to generate graph representations by summarizing node features plays a critical role in the ...