Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/Malllabiisc/CompGCN
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
https://github.com/Malllabiisc/CompGCN
deep-learning graph-convolutional-networks graph-representation-learning iclr2020 link-prediction pytorch relation-embeddings
Last synced: 3 months ago
JSON representation
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
- Host: GitHub
- URL: https://github.com/Malllabiisc/CompGCN
- Owner: malllabiisc
- License: apache-2.0
- Created: 2020-01-04T12:03:00.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2024-06-17T23:00:15.000Z (5 months ago)
- Last Synced: 2024-06-29T07:51:51.220Z (4 months ago)
- Topics: deep-learning, graph-convolutional-networks, graph-representation-learning, iclr2020, link-prediction, pytorch, relation-embeddings
- Language: Python
- Homepage:
- Size: 4.34 MB
- Stars: 584
- Watchers: 18
- Forks: 106
- Open Issues: 15
-
Metadata Files:
- Readme: Readme.md
- License: LICENSE
Awesome Lists containing this project
- StarryDivineSky - Malllabiisc/CompGCN - GCN提出的Encoder-Decoder框架,在编码阶段将Entity Embedding和Realtion Embedding进行组合Aggregation,然后在解码阶段再采用类似TransE/H或者ConvE等方式对(h,r,t)三元组进行解码。因为它在编码阶段就引入了Realtion,使用同一套Realtion Embedding,使得表征学习更加精准。 (图嵌入、网络表征学习 / 网络服务_其他)