Entity Embeddings

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

2 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.

Most implemented papers archive 2025-07-28

30 shown of 76 papers with code (151 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.

• Entity Embeddings of Categorical Variables
  22 Apr 2016 8 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  As entity embedding defines a distance measure for categorical variables it can be used for visualizing categorical data and for data clustering.
• RaTEScore: A Metric for Radiology Report Generation
  24 Jun 2024 3 repositories listed
  This paper introduces a novel, entity-aware metric, termed as Radiological Report (Text) Evaluation (RaTEScore), to assess the quality of medical reports generated by AI models.
• TempoQR: Temporal Question Reasoning over Knowledge Graphs
  10 Dec 2021 3 repositories listed
  The first computes a textual representation of a given question, the second combines it with the entity embeddings for entities involved in the question, and the third generates question-specific time embeddings.
• Scalable Zero-shot Entity Linking with Dense Entity Retrieval
  10 Nov 2019 3 repositories listed
  This paper introduces a conceptually simple, scalable, and highly effective BERT-based entity linking model, along with an extensive evaluation of its accuracy-speed trade-off.
• A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce
  23 Jul 2019 3 repositories listed
  To alleviate this problem, we propose a deep learning based content-collaborative methodology for personalized size and fit recommendation.
• Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization
  31 Aug 2023 2 repositories listed
  Category information plays a crucial role in enhancing the quality and personalization of recommender systems.
• StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
  27 May 2022 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  Conventional representation learning algorithms for knowledge graphs (KG) map each entity to a unique embedding vector, ignoring the rich information contained in the neighborhood.
• ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities
  20 May 2022 2 repositories listed Syntology ran 0 of 15 samples · 15 unverified
  To tackle this challenge, we present ClusterEA, a general framework that is capable of scaling up EA models and enhancing their results by leveraging normalization methods on mini-batches with a high entity equivalent…
• 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.
• HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation
  4 Oct 2021 2 repositories listed
  The personalized list continuation (PLC) task is to curate the next items to user-generated lists (ordered sequence of items) in a personalized way.
• Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
  16 May 2017 2 repositories listed
  The occurrence of a fact (edge) is modeled as a multivariate point process whose intensity function is modulated by the score for that fact computed based on the learned entity embeddings.
• PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
  31 Jan 2025 1 repository listed
  This is often done by allocating and learning embedding tables for all or a subset of the entities.
• DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities
  10 Oct 2024 1 repository listed
  Learned Sparse Retrieval (LSR) models use vocabularies from pre-trained transformers, which often split entities into nonsensical fragments.
• OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search
  25 Apr 2024 1 repository listed
  In this paper, we present OmniSearchSage, a versatile and scalable system for understanding search queries, pins, and products for Pinterest search.
• Unlocking the Power of Large Language Models for Entity Alignment
  23 Feb 2024 1 repository listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  To address the constraints of limited input KG data, ChatEA introduces a KG-code translation module that translates KG structures into a format understandable by LLMs, thereby allowing LLMs to utilize their extensive…
• Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment Decoding
  23 Jan 2024 1 repository listed
  However, the decoding process in EA - essential for effective operation and alignment accuracy - has received limited attention and remains tailored to specific datasets and model architectures, necessitating both…
• Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction
  18 Dec 2023 1 repository listed
  Relation extraction is essentially a text classification problem, which can be tackled by fine-tuning a pre-trained language model (LM).
• Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks
  16 Dec 2023 1 repository listed
  Embedding-based models usually need fine-tuning on new entity embeddings, and hence are difficult to be directly applied to inductive link prediction tasks.
• DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph
  14 Sep 2023 1 repository listed
  In this work, we present a web application named DBLPLink, which performs entity linking over the DBLP scholarly knowledge graph.
• MMEAD: MS MARCO Entity Annotations and Disambiguations
  14 Sep 2023 1 repository listed
  MMEAD, or MS MARCO Entity Annotations and Disambiguations, is a resource for entity links for the MS MARCO datasets.
• Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles
  28 Aug 2023 1 repository listed
  Since the environments can be stochastic and complex in terms of the number of states and feasible actions, activities are usually modelled in a simplified way by Markov decision processes so that, e.
• AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models
  18 Jul 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  In this paper, we propose the first fully automatic alignment method named AutoAlign, which does not require any manually crafted seed alignments.
• BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
  6 Jun 2023 1 repository listed
  We train models using a biomedical KG containing approximately 2 million triples, and evaluate the performance of the resulting entity embeddings on the tasks of link prediction, and drug-protein interaction prediction,…
• InGram: Inductive Knowledge Graph Embedding via Relation Graphs
  31 May 2023 1 repository listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  In this paper, we propose an INductive knowledge GRAph eMbedding method, InGram, that can generate embeddings of new relations as well as new entities at inference time.
• EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains
  22 May 2023 1 repository listed
  In this paper, we propose to improve on this process by pre-training an entity encoder such that embeddings of coreferring entities are more similar to each other than to the embeddings of other entities.
• An entity-guided text summarization framework with relational heterogeneous graph neural network
  7 Feb 2023 1 repository listed
  Firstly, entities are leveraged to construct a sentence-entity graph with weighted multi-type edges to model sentence relations, and a relational heterogeneous GNN for summarization is proposed to calculate node…
• Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
  3 Feb 2023 1 repository listed
  In our proposed model, Entity-Agnostic Representation Learning (EARL), we only learn the embeddings for a small set of entities and refer to them as reserved entities.
• Inductive Logical Query Answering in Knowledge Graphs
  13 Oct 2022 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  Exploring the efficiency--effectiveness trade-off, we find the inductive relational structure representation method generally achieves higher performance, while the inductive node representation method is able to answer…
• Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
  6 Oct 2022 1 repository listed
  In light of this, we propose a novel knowledge Graph enhanced passage reader, namely Grape, to improve the reader performance for open-domain QA.
• A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge Graphs
  20 Sep 2022 1 repository listed
  However, we believe that it is not necessary to learn the embeddings of temporal information in KGs since most TKGs have uniform temporal representations.

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.