Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications.

Pair Perplexity with Google’s NotebookLM for speedy research, with inline citations and presenter or detailed slide options, ...

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

Graph partitioning and bisection problems occupy a central position in combinatorial optimisation and theoretical computer science. These issues involve dividing a graph’s vertex set into distinct ...

Entity alignment is a critical process for unifying heterogeneous data sources by identifying and linking entities that refer to the same real-world object across different knowledge graphs. This ...

In March 2016, DeepMind's AlphaGo A.I. unequivocally defeated the then Go champion, Korea's Lee Sedol. The question of how an A.I. expert in Go would ever be useful was not officially on the agenda, ...

SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...

The cybersecurity industry loves a good quote. At every conference, buried among the slide decks littered with questionable quotes from Sun Tzu's Art of War, you will occasionally strike gold and see ...

If you are interested in learning how to build knowledge graphs using artificial intelligence and specifically large language models (LLM). Johannes Jolkkonen has created a fantastic tutorial that ...