KG-to-Text Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

11 leaderboard tables shown for this task, 11 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 11 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

9 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

18 shown of 18 papers with code (22 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Investigating Pretrained Language Models for Graph-to-Text Generation
  16 Jul 2020 3 repositories listed Syntology ran 2 of 12 samples · 10 unverified
  We show that the PLMs BART and T5 achieve new state-of-the-art results and that task-adaptive pretraining strategies improve their performance even further.
• Text Generation from Knowledge Graphs with Graph Transformers
  4 Apr 2019 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Generating texts which express complex ideas spanning multiple sentences requires a structured representation of their content (document plan), but these representations are prohibitively expensive to manually produce.
• Handling Rare Items in Data-to-Text Generation
  1 Nov 2018 2 repositories listed
  Neural approaches to data-to-text generation generally handle rare input items using either delexicalisation or a copy mechanism.
• Deep Graph Convolutional Encoders for Structured Data to Text Generation
  23 Oct 2018 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Most previous work on neural text generation from graph-structured data relies on standard sequence-to-sequence methods.
• FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation
  25 Oct 2023 1 repository listed
  In addition, FactSpotter can be used as a plug-in feature to improve the factual faithfulness of existing models.
• Can Knowledge Graphs Simplify Text?
  14 Aug 2023 1 repository listed
  Knowledge Graph (KG)-to-Text Generation has seen recent improvements in generating fluent and informative sentences which describe a given KG.
• Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs
  14 Jul 2023 1 repository listed
  In any system that uses structured knowledge graph (KG) data as its underlying knowledge representation, KG-to-text generation is a useful tool for turning parts of the graph data into text that can be understood by…
• Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency
  2 Jul 2022 1 repository listed
  Knowledge graph-to-text (KG-to-text) generation aims to generate easy-to-understand sentences from the KG, and at the same time, maintains semantic consistency between generated sentences and the KG.
• GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation
  13 Apr 2022 1 repository listed
  Recent improvements in KG-to-text generation are due to additional auxiliary pre-training tasks designed to give the fine-tune task a boost in performance.
• EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation
  30 Oct 2021 1 repository listed
  We also evaluate two types of baseline on EventNarrative: a graph-to-text specific model and two state-of-the-art language models, which previous work has shown to be adaptable to the knowledge graph-to-text domain.
• WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
  20 Jul 2021 1 repository listed
  We present a new dataset of Wikipedia articles each paired with a knowledge graph, to facilitate the research in conditional text generation, graph generation and graph representation learning.
• JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
  19 Jun 2021 1 repository listed
  Existing pre-trained models for knowledge-graph-to-text (KG-to-text) generation simply fine-tune text-to-text pre-trained models such as BART or T5 on KG-to-text datasets, which largely ignore the graph structure during…
• Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models
  3 Jun 2021 1 repository listed
  This paper studies how to automatically generate a natural language text that describes the facts in knowledge graph (KG).
• How to Train Your Agent to Read and Write
  4 Jan 2021 1 repository listed
  Typically, this requires an agent to fully understand the knowledge from the given text materials and generate correct and fluent novel paragraphs, which is very challenging in practice.
• KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
  5 Oct 2020 1 repository listed
  We propose a knowledge-grounded pre-training (KGPT), which consists of two parts, 1) a general knowledge-grounded generation model to generate knowledge-enriched text.
• ENT-DESC: Entity Description Generation by Exploring Knowledge Graph
  30 Apr 2020 1 repository listed
  Previous works on knowledge-to-text generation take as input a few RDF triples or key-value pairs conveying the knowledge of some entities to generate a natural language description.
• Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks
  13 Apr 2020 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  In this work, we focus on a more realistic setting where we aim to generate questions from a KG subgraph and target answers.
• Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs
  29 Jan 2020 1 repository listed
  Recent graph-to-text models generate text from graph-based data using either global or local aggregation to learn node representations.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.