模型图 Masked Knowledge Graph Autoencoder: first-order subgraph of an entity or relation to reconstruct its embedding ̄xi MAE loss 新实体和新关系的学习 Embeddeding 正则 Experiment Result:
Graph co-clustering has been shown to be effective for information exchange and knowledge transfer between tasks [29], [12]. Thus, we use graph co-clustering to build a bridge between each pair of tasks and transfer the embedding features from one task to another. Similarly, we design a ...
AKA框架模仿大脑认知过程,也分为两个部分:知识表示(knowledge representation)和知识操作(knowledge operation)。 知识表示 为了表示当前学习域上的知识和以往学习域上的知识,本文分别设计了两个不同的图结构instance-based similarity graph(ISG)和accumulated knowledge graph(AKG)。 1.1. ISG 对于来自某个域的有 N^...
contemporary works proposed to further upgrade the model towards a more generalizable and robust direction through incrementally learning from the sequentially delivered domains. Unlike previous parameter isolation based approaches that usually demand massive computation resources during model updating...
3 wordEmbedding, positionEmbedding, tokenEmbedding← trainData 𝑂(1)O(1) 4 sentenceEmbedding← wordEmbedding, positionEmbedding, tokenEmbedding 𝑂(1)O(1) 5 Train trainer upon sentenceEmbedding 𝑂(𝑖∗𝑁)O(i∗N) 6 Deploy trainer to back-end server 𝑂(1)O(1) Algorithm 3: New...