Knowledge Base Completion

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 69 papers with code (156 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.

• Modeling Relational Data with Graph Convolutional Networks
  17 Mar 2017 27 repositories listed Syntology ran 10 of 32 samples · 22 unverified · 15 pointer-only (licence)
  We demonstrate the effectiveness of R-GCNs as a stand-alone model for entity classification.
• Canonical Tensor Decomposition for Knowledge Base Completion
  19 Jun 2018 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  The problem of Knowledge Base Completion can be framed as a 3rd-order binary tensor completion problem.
• 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.
• Lossless Compression of Structured Convolutional Models via Lifting
  13 Jul 2020 2 repositories listed
  The computation graphs themselves then reflect the symmetries of the underlying data, similarly to the lifted graphical models.
• Tensor Decompositions for temporal knowledge base completion
  10 Apr 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Additionally, we propose a new dataset for knowledge base completion constructed from Wikidata, larger than previous benchmarks by an order of magnitude, as a new reference for evaluating temporal and non-temporal link…
• 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…
• Embedding Multimodal Relational Data for Knowledge Base Completion
  5 Sep 2018 2 repositories listed
  In this paper, we propose multimodal knowledge base embeddings (MKBE) that use different neural encoders for this variety of observed data, and combine them with existing relational models to learn embeddings of the…
• A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
  6 Dec 2017 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  This 3-column matrix is then fed to a convolution layer where multiple filters are operated on the matrix to generate different feature maps.
• KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features
  14 Sep 2017 2 repositories listed
  We present KBLRN, a framework for end-to-end learning of knowledge base representations from latent, relational, and numerical features.
• Joint Matrix-Tensor Factorization for Knowledge Base Inference
  2 Jun 2017 2 repositories listed
  If not, what characteristics of a dataset determine the performance of MF and TF models?
• A survey of embedding models of entities and relationships for knowledge graph completion
  23 Mar 2017 2 repositories listed
  Knowledge graphs (KGs) of real-world facts about entities and their relationships are useful resources for a variety of natural language processing tasks.
• Traversing Knowledge Graphs in Vector Space
  3 Jun 2015 2 repositories listed
  Path queries on a knowledge graph can be used to answer compositional questions such as "What languages are spoken by people living in Lisbon?".
• Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases
  2 Jun 2015 2 repositories listed
  This paper tackles the problem of endogenous link prediction for Knowledge Base completion.
• Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
  5 Jul 2025 1 repository listed
  Knowledge graphs offer a structured representation of real-world entities and their relationships, enabling a wide range of applications from information retrieval to automated reasoning.
• DELE: Deductive ℰℒ⁺⁺ Embeddings for Knowledge Base Completion
  3 Nov 2024 1 repository listed
  Ontology embeddings map classes, relations, and individuals in ontologies into ℝⁿ, and within ℝⁿ similarity between entities can be computed or new axioms inferred.
• Do LLMs Really Adapt to Domains? An Ontology Learning Perspective
  29 Jul 2024 1 repository listed Syntology ran 3 of 7 samples · 4 unverified · 7 pointer-only (licence)
  Empirical results show that, while adapting to the gibberish corpora, off-the-shelf LLMs do not consistently reason over semantic relationships between concepts, and instead leverage senses and their frame.
• Pre-training and Diagnosing Knowledge Base Completion Models
  27 Jan 2024 1 repository listed
  The method works for both canonicalized knowledge bases and uncanonicalized or open knowledge bases, i.
• Knowledge Base Completion for Long-Tail Entities
  30 Jun 2023 1 repository listed
  To evaluate our method and various baselines, we introduce a novel dataset, called MALT, rooted in Wikidata.
• Lattice-preserving 𝒜ℒ𝒞 ontology embeddings with saturation
  11 May 2023 1 repository listed
  Although some approaches aim to embed more descriptive DLs like 𝒜ℒ𝒞, those methods require the existence of individuals, while many real-world ontologies are devoid of them.
• Evaluating Language Models for Knowledge Base Completion
  20 Mar 2023 1 repository listed
  In a second step, we perform a human evaluation on predictions that are not yet in the KB, as only this provides real insights into the added value over existing KBs.
• ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion
  6 Dec 2022 1 repository listed
  However, there has been limited research on the zero-shot KBC settings, where we need to deal with unseen entities and relations that emerge in a constantly growing knowledge base.
• Instance-based Learning for Knowledge Base Completion
  13 Nov 2022 1 repository listed
  In this paper, we propose a new method for knowledge base completion (KBC): instance-based learning (IBL).
• mOKB6: A Multilingual Open Knowledge Base Completion Benchmark
  13 Nov 2022 1 repository listed
  Automated completion of open knowledge bases (Open KBs), which are constructed from triples of the form (subject phrase, relation phrase, object phrase), obtained via open information extraction (Open IE) system, are…
• Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision
  6 Sep 2022 1 repository listed
  Learning from positive and unlabeled (PU) data is a setting where the learner only has access to positive and unlabeled samples while having no information on negative examples.
• FALCON: Scalable Reasoning over Inconsistent ALC Ontologies
  16 Aug 2022 1 repository listed
  Ontologies are one of the richest sources of knowledge.
• Effective Few-Shot Named Entity Linking by Meta-Learning
  12 Jul 2022 1 repository listed
  In this paper, we endeavor to solve the problem of few-shot entity linking, which only requires a minimal amount of in-domain labeled data and is more practical in real situations.
• Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
  1 Dec 2021 1 repository listed
  While vectors in Euclidean space can theoretically represent any graph, much recent work shows that alternatives such as complex, hyperbolic, order, or box embeddings have geometric properties better suited to modeling…
• Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes
  12 Nov 2021 1 repository listed
  Hence, knowledge base completion (KBC) on temporal knowledge bases (TKB), where each statement \textit{may} be associated with a temporal scope, has attracted growing attention.
• Scalable knowledge base completion with superposition memories
  24 Oct 2021 1 repository listed
  We present Harmonic Memory Networks (HMem), a neural architecture for knowledge base completion that models entities as weighted sums of pairwise bindings between an entity's neighbors and corresponding relations.
• Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
  6 Oct 2021 1 repository listed
  Learning good representations on multi-relational graphs is essential to knowledge base completion (KBC).

Syntology lines on 7 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.