Knowledge Graph Embeddings

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

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

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 121 papers with code (269 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.

• Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
  21 Nov 2019 9 repositories listed Syntology ran 2 of 8 samples · 6 unverified · 1 pointer-only (licence)
  HAKE is inspired by the fact that concentric circles in the polar coordinate system can naturally reflect the hierarchy.
• Convolutional 2D Knowledge Graph Embeddings
  5 Jul 2017 8 repositories listed
  In this work, we introduce ConvE, a multi-layer convolutional network model for link prediction, and report state-of-the-art results for several established datasets.
• Multi-Relational Embedding for Knowledge Graph Representation and Analysis
  28 Sep 2020 4 repositories listed
  The goal of this thesis is first to study multi-relational embedding on knowledge graphs to propose a new embedding model that explains and improves previous methods, then to study the applications of multi-relational…
• HittER: Hierarchical Transformers for Knowledge Graph Embeddings
  28 Aug 2020 3 repositories listed Syntology ran 0 of 7 samples · 7 unverified · 1 pointer-only (licence)
  Our proposed model consists of two different Transformer blocks: the bottom block extracts features of each entity-relation pair in the local neighborhood of the source entity and the top block aggregates the relational…
• Low-Dimensional Hyperbolic Knowledge Graph Embeddings
  1 May 2020 3 repositories listed Syntology ran 4 of 11 samples · 7 unverified · 8 pointer-only (licence)
  However, existing hyperbolic embedding methods do not account for the rich logical patterns in KGs.
• Multi-Hop Knowledge Graph Reasoning with Reward Shaping
  31 Aug 2018 3 repositories listed Syntology ran 0 of 12 samples · 12 unverified · 1 pointer-only (licence)
  Multi-hop reasoning is an effective approach for query answering (QA) over incomplete knowledge graphs (KGs).
• Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text
  4 Jul 2018 3 repositories listed
  Inspired by recent successes in neural machine translation, we treat the triples within a given knowledge graph as an independent graph language and propose an encoder-decoder framework with an attention mechanism that…
• KBGAN: Adversarial Learning for Knowledge Graph Embeddings
  11 Nov 2017 3 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  This framework is independent of the concrete form of generator and discriminator, and therefore can utilize a wide variety of knowledge graph embedding models as its building blocks.
• SparseTransX: Efficient Training of Translation-Based Knowledge Graph Embeddings Using Sparse Matrix Operations
  24 Feb 2025 2 repositories listed
  Our analysis shows that the gradient computation of embedding is one of the dominant functions in the translation-based KG embedding training loop.
• RDF-star2Vec: RDF-star Graph Embeddings for Data Mining
  25 Dec 2023 2 repositories listed
  Knowledge Graphs (KGs) such as Resource Description Framework (RDF) data represent relationships between various entities through the structure of triples (<subject, predicate, object>).
• Editing Language Model-based Knowledge Graph Embeddings
  25 Jan 2023 2 repositories listed
  To address this issue, we propose a new task of editing language model-based KG embeddings in this paper.
• LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings
  1 Oct 2022 2 repositories listed
  Knowledge Graphs (KGs) often have two characteristics: heterogeneous graph structure and text-rich entity/relation information.
• Adversarial Robustness of Representation Learning for Knowledge Graphs
  30 Sep 2022 2 repositories listed
  This thesis argues that state-of-the-art KGE models are vulnerable to data poisoning attacks, that is, their predictive performance can be degraded by systematically crafted perturbations to the training knowledge graph.
• Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
  11 Jul 2022 2 repositories listed
  Knowledge graph embedding (KGE) models are an effective and popular approach to represent and reason with multi-relational data.
• Contextual Semantic Embeddings for Ontology Subsumption Prediction
  20 Feb 2022 2 repositories listed
  Automating ontology construction and curation is an important but challenging task in knowledge engineering and artificial intelligence.
• KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
  9 Dec 2021 2 repositories listed
  Learning the embeddings of knowledge graphs (KG) is vital in artificial intelligence, and can benefit various downstream applications, such as recommendation and question answering.
• Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings
  8 Dec 2021 2 repositories listed
  Furthermore, we have implemented a fine-tuning architecture that adapts the knowledge graph embeddings to the effect prediction task and leads to better performance.
• Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
  17 May 2021 2 repositories listed
  Knowledge Graphs (KG) and associated Knowledge Graph Embedding (KGE) models have recently begun to be explored in the context of drug discovery and have the potential to assist in key challenges such as target…
• NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access
  1 Apr 2021 2 repositories listed
  Parameter servers (PSs) facilitate the implementation of distributed training for large machine learning tasks.
• PairRE: Knowledge Graph Embeddings via Paired Relation Vectors
  7 Nov 2020 2 repositories listed
  Distance based knowledge graph embedding methods show promising results on link prediction task, on which two topics have been widely studied: one is the ability to handle complex relations, such as N-to-1, 1-to-N and…
• FedE: Embedding Knowledge Graphs in Federated Setting
  24 Oct 2020 2 repositories listed
  Knowledge graphs (KGs) consisting of triples are always incomplete, so it's important to do Knowledge Graph Completion (KGC) by predicting missing triples.
• Inductive Entity Representations from Text via Link Prediction
  7 Oct 2020 2 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  However, the extent to which these representations learned for link prediction generalize to other tasks is unclear.
• Convolutional Complex Knowledge Graph Embeddings
  7 Aug 2020 2 repositories listed
  In this paper, we study the problem of learning continuous vector representations of knowledge graphs for predicting missing links.
• PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
  28 Jul 2020 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  Recently, knowledge graph embeddings (KGEs) received significant attention, and several software libraries have been developed for training and evaluating KGEs.
• You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings
  1 May 2020 2 repositories listed
  A vast number of KGE techniques for multi-relational link prediction have been proposed in the recent literature, often with state-of-the-art performance.
• Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
  4 Jun 2019 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  The recent proliferation of knowledge graphs (KGs) coupled with incomplete or partial information, in the form of missing relations (links) between entities, has fueled a lot of research on knowledge base completion…
• Binarized Knowledge Graph Embeddings
  8 Feb 2019 2 repositories listed
  This limitation is expected to become more stringent as existing knowledge graphs, which are already huge, keep steadily growing in scale.
• Recommendation Through Mixtures of Heterogeneous Item Relationships
  29 Aug 2018 2 repositories listed
  Recommender Systems have proliferated as general-purpose approaches to model a wide variety of consumer interaction data.
• Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
  7 Sep 2017 2 repositories listed
  A visual-relational knowledge graph (KG) is a multi-relational graph whose entities are associated with images.
• DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
  20 Jul 2017 2 repositories listed
  We study the problem of learning to reason in large scale knowledge graphs (KGs).

Syntology lines on 8 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.