In this tutorial, we build an advanced, fully autonomous logistics simulation in which multiple smart delivery trucks operate within a dynamic city-wide road network. We design the system so that each ...

Multi-agent explanatory AI: turns hybrid retrieval (Elasticsearch) into sourced causal chains with a graph view and LLM-backed summarization (Vertex AI / Gemini). Ships with a FastAPI backend and ...

Abstract: Node importance estimation involves assigning a global importance score to each node in a graph, pivotal to various subsequent tasks, including recommendation, network dismantling, etc.

Abstract: The complex connectivity patterns inherent in graphs are the biggest obstacle to applying ML algorithms, which are perfected for tabular data, to graphs. Graph embedding converts each node ...

’m Harshith, a GSSoC contributor. I would like to enhance the current CLI-based grade checker by adding a Streamlit-based web app that provides: A clean and user-friendly UI for entering and checking ...

The ability to handle large scale graph data is crucial to an increasing number of applications. Much work has been dedicated to supporting basic graph operations such as subgraph matching, ...