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Paper_Reading

My paper reading repository

ICLR 2020

Knowledge graph completion

  • NOIGAN: NOISE AWARE KNOWLEDGE GRAPH EMBEDDING WITH GAN
    • Proposed a unified GAN framework to jointly combine the two tasks, knowledge graph completion by embedding model and error detection.
    • Experimented on FB15K, YOGA3-10, WN18 with noisy triples that are made by randomly substituting the head entity or the tail entity.
  • On Understanding Knowledge Graph Representation
    • Assume that knowledge graph embeddings have similar properties to word embeddings.
  • Conversation Generation with ConceptFlow
    • Similar idea to my paper DyKgChat, but using graph neural network and focusing on 2-hops as maximum.
    • Experimented on Commonsense Conversation Dataset, primarily used overlapping metrics for evaluation.

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