3-1 Graph4NLP：NLP图形深度学习库.pdf

1、Graph4NLP:A Library for Deep Learning on Graphs for NLPYu(Hugo)Chen 陈宇Research Scientist at Meta AIGraph Machine Learning SummitJune 25th,2022|Graph4NLP:A Brief History and Future 2Year September/2021Our DLG4NLP website launched:survey,library,tutorial,workshop and many more.Year June/2021Graph4NLP

2、v0.4.1Released,first libraryfor promoting easy use of GNN for NLP.Year September/2021Graph4NLP v0.5.1 released,Lint the codes,support testingwith users own data,and fix many reported bugs.Year 01/20/2022Graph4NLP v0.5.5 released,Support model.predict API by introducing wrapper functions,separate gra

3、ph topology and graph embedding and many moreYear June/2022(planning)-Graph4NLP v0.6 will be released,new configuration system,relational GNN,AMR graphconstruction support.Year 2022+-More Graph4NLPreleases-More workshops-Release a new Graph4NLP book by Cambridge Press.Overall Architecture of Graph4N

4、LP LibraryDGL:https:/ Features4Documentation website:https:/graph4ai.github.io/graph4nlp/index.htmlGraph ConstructionRaw DataGNN Embedding MethodsFeatured Structured Data(Graph4NLP.GraphData)Encoded Structured Data(Graph4NLP.GraphData)PredictionResultsEvaluationLossUser ModelData Flow of Graph4NLP5C

5、omputing Flow of Graph4NLP6Performance of Built-in NLP Tasks7Dive Into Graph4NLP Library8Graph4NLP LibraryModulesGraph ConstructionStatic Graph ConstructionDependency GraphConstituency GraphIE GraphDynamic Graph ConstructionNode Embedding BasedNode Embedding Based RefinedGraph Embedding Initializati

6、onGraph Embedding LearningGCNGraphSAGEGATGGNNPredictionClassificationNode ClassificationGraph ClassificationLink PredictionKG CompletionGenerationSequence DecoderTree DecoderLossEvaluationUtilsDatasetGraphDataApplicationsText ClassificationSemantic ParsingMachine TranslationKG CompletionQuestion Gen