scholarly article | Q13442814 |
P820 | arXiv classification | stat.ML |
cs.LG | ||
cs.SI | ||
P818 | arXiv ID | 1903.12287 |
P953 | full work available at URL | https://arxiv.org/pdf/1903.12287.pdf |
https://www.sysml.cc/doc/2019/71.pdf |
P50 | author | Adam Lerer | Q76514656 |
P2093 | author name string | Abhijit Bose | |
Jiajun Shen | |||
Alex Peysakhovich | |||
Ledell Wu | |||
Luca Wehrstedt | |||
Timothee Lacroix | |||
P2860 | cites work | Efficient Estimation of Word Representations in Vector Space | Q24699014 |
Modeling Relational Data with Graph Convolutional Networks | Q30005091 | ||
Semi-Supervised Classification with Graph Convolutional Networks | Q30278192 | ||
Embedding Entities and Relations for Learning and Inference in Knowledge Bases | Q30278312 | ||
Holographic Embeddings of Knowledge Graphs | Q32000242 | ||
A Review of Relational Machine Learning for Knowledge Graphs | Q32094323 | ||
Translating Embeddings for Modeling Multi-relational Data | Q32892039 | ||
Group formation in large social networks: membership, growth, and evolution | Q56141083 | ||
What is Twitter, a social network or a news media? | Q59442626 | ||
P407 | language of work or name | English | Q1860 |
P921 | main subject | graph embedding | Q32081746 |
knowledge graph embedding | Q33003557 | ||
PyTorch | Q47509047 | ||
P6104 | maintained by WikiProject | WikiProject Software | Q15659621 |
P1104 | number of pages | 12 | |
P577 | publication date | 2019-04-01 | |
P1433 | published in | Proceedings of the 2nd SysML Conference | Q62658004 |
P1476 | title | PyTorch-BigGraph: A Large-scale Graph Embedding System |
Q84574679 | Enriching BERT with Knowledge Graph Embeddings for Document Classification |
Q124359239 | KGTN-ens: few-shot image classification with knowledge graph ensembles |
Q113288185 | Knowledge Graph Embeddings for News Article Tag Recommendation |
Q101086602 | PNEL: Pointer Network Based End-To-End Entity Linking over Knowledge Graphs |
Q63295515 | Quaternion Knowledge Graph Embeddings |
Q118218431 | Wikidata to Bootstrap an Enterprise Knowledge Graph: How to Stay on Topic? |
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