Methods › Graphs › Graph Representation Learning › MEI

Multi-partition Embedding Interaction

MEI

14 papers tagged archive 2025-07-28

Introduced by Hung Nghiep Tran et al. in Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

MEI introduces the multi-partition embedding interaction technique with block term tensor format to systematically address the efficiency--expressiveness trade-off in knowledge graph embedding. It divides the embedding vector into multiple partitions and learns the local interaction patterns from data instead of using fixed special patterns as in ComplEx or SimplE models. This enables MEI to achieve optimal efficiency--expressiveness trade-off, not just being fully expressive. Previous methods such as TuckER, RESCAL, DistMult, ComplEx, and SimplE are suboptimal restricted special cases of MEI.

PaperSourceSee Code · tranhungnghiep/MEI-KGE

Papers archive 2025-07-28

14 shown of 14, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 35 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Graph Embedding4
Knowledge Graph Embedding4
Link Prediction4
Knowledge Graphs3
Question Answering3
Recommendation Systems3
Knowledge Graph Completion2
Object Detection2
World Knowledge2
object-detection2
Cloud Computing1
Computational Efficiency1
Coreference Resolution1
Cross-Modal Retrieval1
Disentanglement1
Edge-computing1
In-Context Learning1
Information Retrieval1
Instance Segmentation1
Key Detection1

Usage over time archive 2025-07-28

Papers per year tagged with MEI: 2019 to 2025, peak 4 4 0 2019: 1 paper 2019 2020: 3 papers 2020 2021: 2 papers 2021 2022: 2 papers 2022 2023: 0 papers 2023 2024: 4 papers 2024 2025: 2 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (14 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Graph Representation LearningGraph Embeddings

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