SOTAVerified

Graph-to-Sequence

Mapping an input graph to a sequence of vectors.

Papers

Showing 125 of 48 papers

TitleStatusHype
UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES AlignmentCode1
Modeling Global and Local Node Contexts for Text Generation from Knowledge GraphsCode1
PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow PredictionCode1
ENT-DESC: Entity Description Generation by Exploring Knowledge GraphCode1
Fleet Prognosis with Physics-informed Recurrent Neural NetworksCode1
Graph-to-Sequence Learning using Gated Graph Neural NetworksCode1
GPT-too: A language-model-first approach for AMR-to-text generationCode1
Physics-informed neural networks for corrosion-fatigue prognosisCode1
Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction predictionCode1
Deep Graph Convolutional Encoders for Structured Data to Text GenerationCode1
A physics-informed neural network for wind turbine main bearing fatigueCode1
Ontology-Free General-Domain Knowledge Graph-to-Text Generation Dataset Synthesis using Large Language ModelCode1
Graph Transformer for Graph-to-Sequence LearningCode0
Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-referenceCode0
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence ModelCode0
Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence ModelCode0
Densely Connected Graph Convolutional Networks for Graph-to-Sequence LearningCode0
Enhancing AMR-to-Text Generation with Dual Graph RepresentationsCode0
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence ModelCode0
Graph2Seq: Graph to Sequence Learning with Attention-based Neural NetworksCode0
A Graph-to-Sequence Model for AMR-to-Text GenerationCode0
Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence ModelCode0
Neural AMR: Sequence-to-Sequence Models for Parsing and GenerationCode0
Predicting Parking Lot Availability by Graph-to-Sequence Model: A Case Study with SmartSantanderCode0
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question GenerationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GRNBLEU33.6Unverified
2GCNSEQBLEU23.95Unverified
#ModelMetricClaimedVerifiedStatus
1CGE-LWBLEU63.69Unverified