Semanlink - Embeddings ; Knowledge bases AND Link Prediction

Daniel Daza sur Twitter : "BioBLP, a method for learning embeddings on multimodal knowledge graphs...."

Tags:

2023-06-07 About

[2008.12813] HittER: Hierarchical Transformers for Knowledge Graph Embeddings

Tags:

2022-06-30 About

Supporting content decision makers with machine learning | Dec, 2020 | Netflix TechBlog

Tags:

2020-12-11 About

raphaelsty/ckb: Contextual knowledge bases

Tags:

2020-11-09 About

[2010.03496] Inductive Entity Representations from Text via Link Prediction

Tags:

BLP "BERT for Link Prediction". Central idea: **training an entity encoder with a
link prediction objective** (using the textual descriptions of entities when computing entity representations - hence not failing with entities unknown in training)

> a method for **learning representations
of entities**, that uses a **pre-trained Transformer** based
architecture as an entity encoder, and
**link prediction training on a knowledge graph
with textual entity descriptions**.

> using entity descriptions,
an entity encoder is trained for link prediction in
a knowledge graph. The encoder can then be used
without fine-tuning to obtain features for entity classification
and information retrieval

Cites [Xie et al](doc:2020/10/representation_learning_of_know) and [Kepler](doc:2020/11/1911_06136_kepler_a_unified_). They claim that their
objective targeted exclusively for link prediction (and not an objective that combines language modeling
and link prediction as Kepler)
performs better than Kepler's more complex one.

2020-11-03 About

[2003.08001] Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

Tags:

2020-05-15 About

Chengkai Li sur Twitter : "Link prediction methods on knowledge graphs don't work..."

Tags:

2020-03-29 About

[1911.02168] CoKE: Contextualized Knowledge Graph Embedding

Tags:

2020-03-22 About

Convolutional 2D Knowledge Graph Embeddings (2017)

Tags:

2018-02-26 About