Graph-to-Sequence
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Benchmarks
LDC2015E86:
WebNLG
Most implemented
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
A physics-informed neural network for wind turbine main bearing fatigue
Physics-informed neural networks for corrosion-fatigue prognosis
Structural Neural Encoders for AMR-to-text Generation
Deep Graph Convolutional Encoders for Structured Data to Text Generation
Papers
FragmentNet: Adaptive Graph Fragmentation for Graph-to-Sequence Molecular Representation Learning
Molecular property prediction uses molecular structure to infer chemical properties. Chemically interpretable representations that capture meaningful intramolecular interactions enhance the usability and effectiveness of…
Graph-to-SequenceMolecular Property Predictionmolecular representationProperty Prediction+2PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction
Traffic flow prediction is the foundation of intelligent traffic management systems. Current methods prioritize the development of intricate models to capture spatio-temporal correlations, yet they often neglect the expl…
feature selectionGraph-to-SequenceTraffic PredictionEzSQL: An SQL intermediate representation for improving SQL-to-text Generation
The SQL-to-text generation task traditionally uses template base, Seq2Seq, tree-to-sequence, and graph-to-sequence models. Recent models take advantage of pre-trained generative language models for this task in the Seq2S…
Graph-to-SequenceLanguage ModelingLanguage ModellingSQL-to-Text+3Ontology-Free General-Domain Knowledge Graph-to-Text Generation Dataset Synthesis using Large Language Model
Knowledge Graph-to-Text (G2T) generation involves verbalizing structured knowledge graphs into natural language text. Recent advancements in Pretrained Language Models (PLMs) have improved G2T performance, but their effe…
Data-to-Text GenerationGraph-to-SequenceKnowledge GraphsLanguage Modeling+3Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-reference
The visual question generation (VQG) task aims to generate human-like questions from an image and potentially other side information (e.g. answer type). Previous works on VQG fall in two aspects: i) They suffer from one …
Graph-to-SequenceImplicit RelationsQuestion GenerationQuestion-GenerationUAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES Alignment
Motivation: Retrosynthesis planning poses a formidable challenge in the organic chemical industry. Single-step retrosynthesis prediction, a crucial step in the planning process, has witnessed a surge in interest in recen…
Graph-to-Sequencemolecular representationRepresentation LearningRetrosynthesis+1