Abstract: 3D scene graph has emerged as a powerful high-level representation ... rather than learning within vector-based feature with blindly increasing dimensions. By incorporating an entity within ...

Therefore, this study develops a GIN-based framework for graph representation learning. Initially, ship trajectories are represented as vector graph structures, with both original and derived features ...

Training LLMs on GPUs can slow down adoption due to challenges like memory limits, throughput, and deep learning framework overhead. To help resolve this across the ML community, we introduced ...

pgvectorscale complements pgvector, the open-source vector data extension for PostgreSQL ... Higher values increase accuracy but make the graph traversal slower. 50 search_list_size This is the S ...

The goal of research on Microsoft Research Asia – Shanghai (MSRA Shanghai) is to design advanced algorithms and systems to help solve cutting-edge challenges closely related to our life. The research ...

Its vector index, keyword, graph and fuzzy search provide an API to use all extracted and extracted information from Nuclia, Understanding API and provides powerful NLP abilities to any application ...