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multi-hop reasoning

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DataFunSummit
DataFunSummit
Jul 26, 2022 · Artificial Intelligence

Multi-step Reasoning over Large-scale Knowledge Graphs: Query2Box and SMORE Framework

This talk presents recent advances in multi-step reasoning over large-scale, noisy knowledge graphs, introducing the Query2Box model that uses box embeddings for complex queries and the SMORE framework that enables efficient multi-hop inference on massive graphs through scalable query generation, embedding computation, and training pipelines.

AIQuery2BoxSMORE
0 likes · 14 min read
Multi-step Reasoning over Large-scale Knowledge Graphs: Query2Box and SMORE Framework
DataFunSummit
DataFunSummit
Feb 25, 2022 · Artificial Intelligence

Knowledge Graph Representation and Reasoning Forum at DataFun Summit 2022

The DataFun Summit 2022 Knowledge Graph Forum, held on March 12, presents cutting‑edge research on knowledge graph representation learning, multi‑hop reasoning, temporal KG question answering, and their applications in finance and retail, featuring talks by leading experts from JD, Fourth Paradigm, Stanford, and Meituan.

AI applicationsgraph neural networksknowledge graph
0 likes · 9 min read
Knowledge Graph Representation and Reasoning Forum at DataFun Summit 2022