What if visualization is the key to unlocking exceptional success for anyone willing to harness it? What if it is the secret power of great leaders? What if visualization could help keep humanity ...

Considering the dynamic topologies of wireless networks and the need to balance blockchain performance with energy efficiency, we propose a Graph Convolutional Network (GCN)-based method to quickly ...

However, using LLMs as automatic knowledge graph construction engines relies on the embedding of schema layers, which brings challenges to the input length of LLMs. In this paper, we present a ...

To address this problem, we propose a novel graph-guided Mamba framework, named Hamba, which bridges graph learning and state space modeling. Our core idea is to reformulate Mamba's scanning into ...

To speed up the training, we have preprocessed the dataset and cached the data in ./data/{dataset_name}/cache/. And we aim to provide a unified, human-friendly ...

Here is an example of a graph visualization of a large dataset: The important thing to note here is that while the actual data structure contains 601 nodes and 1179 relationships, the ...