SOTAVerified

Graph-to-Sequence

Mapping an input graph to a sequence of vectors.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 48 papers

TitleStatusHype
FragmentNet: Adaptive Graph Fragmentation for Graph-to-Sequence Molecular Representation Learning—0
PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow PredictionCode1
EzSQL: An SQL intermediate representation for improving SQL-to-text Generation—0
Ontology-Free General-Domain Knowledge Graph-to-Text Generation Dataset Synthesis using Large Language ModelCode1
Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-referenceCode0
UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES AlignmentCode1
Predicting Parking Lot Availability by Graph-to-Sequence Model: A Case Study with SmartSantanderCode0
A Graph-to-Sequence Model for Joint Intent Detection and Slot Filling in Task-Oriented Dialogue Systems—0
GraphMR: Graph Neural Network for Mathematical Reasoning—0
Topic-Guided Abstractive Multi-Document Summarization—0
Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction predictionCode1
AMR-to-text Generation with Graph Structure Reconstruction and Coverage—0
Proving Equivalence Between Complex Expressions Using Graph-to-Sequence Neural Models—0
Ask Question with Double Hints: Visual Question Generation with Answer-awareness and Region-reference—0
Learning Axioms to Compute Verifiable Symbolic Expression Equivalence Proofs Using Graph-to-Sequence Networks—0
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis—0
Graph-to-Sequence Neural Machine Translation—0
Sparse Graph to Sequence Learning for Vision Conditioned Long Textual Sequence Generation—0
Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks—0
Heterogeneous Graph Transformer for Graph-to-Sequence Learning—0
GPT-too: A language-model-first approach for AMR-to-text generationCode1
A physics-informed neural network for wind turbine main bearing fatigueCode1
ENT-DESC: Entity Description Generation by Exploring Knowledge GraphCode1
Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels—0
GraphTTS: graph-to-sequence modelling in neural text-to-speech—0
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All datasetsLDC2015E86WebNLG

Benchmark Results

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