Abstract: The knowledge graph is a structured knowledge base used to describe concepts, entities, and their interrelationships in the physical world in symbolic form. Compared to large models, ...
Abstract: In order to solve the problem of sparse text modality semantics and difficulty in fully mining features in current cross-modal retrieval algorithms, a cross-modal retrieval algorithm (GCMR) ...
Precise path: vector/FTS5 search → community expansion → graph walk → PPR ranking Generalized path: query vector vs community summary embeddings → community members → PPR ranking Community summaries ...
Introductory problem used to familiarise with the judge's I/O format. Given a list of numbers, count the even numbers and compute their sum. Sort a stack of pancakes using only flip operations ...
Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that compute shortest paths through vast networks. Now imagine scaling that task ...
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