Knowledge Graph Embedding

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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.

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

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

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 220 papers with code (467 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.

• Inductive Relation Prediction by Subgraph Reasoning
  16 Nov 2019 10 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  The dominant paradigm for relation prediction in knowledge graphs involves learning and operating on latent representations (i.
• RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
  26 Feb 2019 10 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  We study the problem of learning representations of entities and relations in knowledge graphs for predicting missing links.
• 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.
• NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
  16 Dec 2018 6 repositories listed
  Negative sampling, which samples negative triplets from non-observed ones in the training data, is an important step in KG embedding.
• MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction
  30 Sep 2022 4 repositories listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
  Knowledge graph embedding aims to predict the missing relations between entities in knowledge graphs.
• 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…
• Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding
  17 Nov 2019 4 repositories listed
  In this work, based on the relational paths, which are composed of a sequence of triplets, we define the Interstellar as a recurrent neural architecture search problem for the short-term and long-term information along…
• Composition-based Multi-Relational Graph Convolutional Networks
  8 Nov 2019 4 repositories listed Syntology ran 2 of 6 samples · 4 unverified · 3 pointer-only (licence)
  Multi-relational graphs are a more general and prevalent form of graphs where each edge has a label and direction associated with it.
• Knowledge Graph Embedding for Ecotoxicological Effect Prediction
  2 Jul 2019 4 repositories listed
  A knowledge graph has been constructed from publicly available data sets, including a species taxonomy and chemical classification and similarity.
• Bilinear Scoring Function Search for Knowledge Graph Learning
  1 Jul 2021 3 repositories listed
  We first set up a search space for AutoBLM by analyzing existing scoring functions.
• Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding
  22 Apr 2021 3 repositories listed
  The scoring function, which measures the plausibility of triplets in knowledge graphs (KGs), is the key to ensure the excellent performance of KG embedding, and its design is also an important problem in the literature.
• CoKE: Contextualized Knowledge Graph Embedding
  6 Nov 2019 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  This work presents Contextualized Knowledge Graph Embedding (CoKE), a novel paradigm that takes into account such contextual nature, and learns dynamic, flexible, and fully contextualized entity and relation embeddings.
• AutoSF: Searching Scoring Functions for Knowledge Graph Embedding
  26 Apr 2019 3 repositories listed
  The algorithm is further sped up by a filter and a predictor, which can avoid repeatedly training SFs with same expressive ability and help removing bad candidates during the search before model training.
• Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
  23 Jan 2019 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Collaborative filtering often suffers from sparsity and cold start problems in real recommendation scenarios, therefore, researchers and engineers usually use side information to address the issues and improve the…
• 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.
• 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>).
• Relation-aware Ensemble Learning for Knowledge Graph Embedding
  13 Oct 2023 2 repositories listed
  Knowledge graph (KG) embedding is a fundamental task in natural language processing, and various methods have been proposed to explore semantic patterns in distinctive ways.
• TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation
  26 Jun 2023 2 repositories listed
  This paper presents a translation-based knowledge geraph embedding method via efficient relation rotation (TransERR), a straightforward yet effective alternative to traditional translation-based knowledge graph…
• Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction
  1 Mar 2023 2 repositories listed
  In an extensive and controlled experimental setting, we show that the proposed loss functions systematically provide satisfying results which demonstrates both the generality and superiority of our proposed approach.
• Sem@K: Is my knowledge graph embedding model semantic-aware?
  13 Jan 2023 2 repositories listed
  That is why, in this paper, we extend our previously introduced metric Sem@K that measures the capability of models to predict valid entities w.
• BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion
  22 Nov 2022 2 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  We present the award-winning submission to the WikiKG90Mv2 track of OGB-LSC@NeurIPS 2022.
• Multimodal Analogical Reasoning over Knowledge Graphs
  1 Oct 2022 2 repositories listed Syntology ran 7 of 27 samples · 20 unverified
  Analogical reasoning is fundamental to human cognition and holds an important place in various fields.
• 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.
• PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning
  29 Apr 2022 2 repositories listed Syntology ran 0 of 15 samples · 15 unverified
  Meanwhile, the inference time grows log-linearly with the number of entities for all entities are traversed and compared.
• A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs
  14 Mar 2022 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  The link prediction task on knowledge graphs without explicit negative triples in the training data motivates the usage of rank-based metrics.
• Rethinking Graph Convolutional Networks in Knowledge Graph Completion
  8 Feb 2022 2 repositories listed
  Surprisingly, we observe from experiments that the graph structure modeling in GCNs does not have a significant impact on the performance of KGC models, which is in contrast to the common belief.
• 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.
• Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
  27 Oct 2021 2 repositories listed
  In this paper, we first theoretically show that the transitive relations can be modeled with projections.
• DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
  22 Aug 2021 2 repositories listed
  Knowledge graph completion (KGC) has become a focus of attention across deep learning community owing to its excellent contribution to numerous downstream tasks.

Syntology lines on 12 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.