Graph embedding, aiming to learn low-dimensional representations (aka. embeddings) of nodes in graphs, has received significant attention. In recent years, there has been a surge of efforts, among ...

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting: STGCN: 19-05-31: Graph WaveNet🔥: IJCAI 2019: Graph WaveNet for Deep Spatial-Temporal Graph Modeling: ...

Graph Shows Putin's Missile Response to Russia's 'Pearl Harbor' Published Jun 07, 2025 at 10:31 AM EDT Updated Jun 07, 2025 at 10:32 AM EDT. By .

Collaborative perception in unknown environments is crucial for multi-robot systems. With the emergence of foundation models, robots can now not only perceive geometric information but also achieve ...

What is GraphRAG? GraphRAG is a retrieval method that uses knowledge graphs to store and manage structured data, serving as an alternative to VectorRAG (Vector Retrieval Augmented Generation ...