Graph4NLP: A Library for Deep
Learning on Graphs for NLP
Yu (Hugo) Chen 陈宇
Research Scientist at Meta AI
Graph Machine Learning Summit
June 25th, 2022
|
Graph4NLP: A Brief History and Future
2
Year September/2021
Our DLG4NLP website
launched: survey, library,
tutorial, workshop and
many more.
Year June/2021
Graph4NLP v0.4.1
Released, first library
for promoting easy
use of GNN for NLP.
Year September/2021
Graph4NLP v0.5.1 released,
Lint the codes, support testing
with users’ own data, and fix
many reported bugs.
Year 01/20/2022
Graph4NLP v0.5.5 released,
Support model.predict API
by introducing wrapper
functions, separate graph
topology and graph
embedding and many more…
Year June/2022 (planning)
- Graph4NLP v0.6 will be released,
new configuration system,
relational GNN, AMR graph
construction support.
Year 2022+
- More Graph4NLP
releases
- More workshops
- Release a new
Graph4NLP book by
Cambridge Press.
Graph
Construction
Raw Data
GNN Embedding
Methods
Featured Structured Data
(Graph4NLP.GraphData)
Encoded Structured Data
(Graph4NLP.GraphData)
Prediction
Results
Evaluation
Loss
User Model
Data Flow of Graph4NLP
5
