Browse State-of-the-Art › Relation Prediction
Relation Prediction
89 papers with code · 0 benchmarks · 1 dataset 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
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
30 shown of 89 papers with code (187 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.
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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.
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23 Jun 2021 4 repositories listed Syntology ran 0 of 7 samples · 7 unverifiedTo this end, we propose NodePiece, an anchor-based approach to learn a fixed-size entity vocabulary.
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21 Jun 2021 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)The key to our method is a set of learnable triplet queries and a structured triplet detector which could be jointly optimized from the training set in an end-to-end manner.
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17 Feb 2020 4 repositories listed Syntology ran 1 of 18 samples · 17 unverifiedSpecifically, two kinds of neighborhood topology are modeled for a given entity pair under the relational message passing framework: (1) Relational context, which captures the relation types of edges adjacent to the…
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30 Oct 2019 4 repositories listed Syntology ran 5 of 6 samples · 1 unverifiedTo detect both seen and unseen anomalies, we introduce a novel deep weakly-supervised approach, namely Pairwise Relation prediction Network (PReNet), that learns pairwise relation features and anomaly scores by…
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7 Sep 2019 3 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 1 pointer-only (licence)Knowledge graphs are important resources for many artificial intelligence tasks but often suffer from incompleteness.
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12 Oct 2017 3 repositories listedLearning effective representations of sentences is one of the core missions of natural language understanding.
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9 Jun 2025 2 repositories listed Syntology ran 9 of 10 samples · 1 unverifiedInequality proving, crucial across diverse scientific and mathematical fields, tests advanced reasoning skills such as discovering tight bounds and strategic theorem application.
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1 Apr 2025 2 repositories listedFurther, in order to effectively solve the multi-label relation prediction problem in the refinement process, we propose a probability fusion method, ensuring and enhancing fusion predictions by maintaining a balance…
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6 Feb 2023 2 repositories listedPanoptic Scene Graph (PSG) generation aims to generate scene graph representations based on panoptic segmentation instead of rigid bounding boxes.
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10 Feb 2022 2 repositories listedComputational approaches for accurate predictions of drug-related interactions such as drug-drug interactions (DDIs) and drug-target interactions (DTIs) are highly demanding for biochemical researchers due to their…
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31 Aug 2019 2 repositories listedRich entity representations are useful for a wide class of problems involving entities.
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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…
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20 Mar 2025 1 repository listedDocument structure analysis, aka document layout analysis, is crucial for understanding both the physical layout and logical structure of documents, serving information retrieval, document summarization, knowledge…
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26 Feb 2025 1 repository listedFully inductive knowledge graph models can be trained on multiple domains and subsequently perform zero-shot knowledge graph completion (KGC) in new unseen domains.
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31 Jan 2025 1 repository listedThis is often done by allocating and learning embedding tables for all or a subset of the entities.
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17 Nov 2024 1 repository listedThis enables a compact representation of a complete multi-relational graph using a single adjacency matrix, which, in turn, facilitates quick computation of multi-hop adjacency matrices.
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1 Oct 2024 1 repository listedOur approach uses a Transformer-based subgraph encoding module only; we introduce connection-biased attention and entity role embeddings into the subgraph encoding module to eliminate the need for an expensive and…
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24 Sep 2024 1 repository listedWhile being one of the most popular question types, simple questions such as "Who is the author of Cinderella?
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9 Aug 2024 1 repository listedSpecifically, we propose a \textit{single-source} initialization approach to initialize edge features only for the target link, which guarantees the relevance of mined rules and target link.
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15 Jul 2024 1 repository listedIn this paper, we focus on the task of open-set relation prediction integrated with a pretrained open-set panoptic segmentation model to achieve true open-set panoptic scene graph generation (OpenPSG).
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24 Jun 2024 1 repository listedHowever, these studies ignore the non-bridge entities, each of which co-occurs with only one target entity and offers the semantic association between target entities for relation prediction.
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25 May 2024 1 repository listedOur proposed solution, the REACT model, achieves the highest inference speed among existing SGG models, improving object detection accuracy without sacrificing relation prediction performance.
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24 Apr 2024 1 repository listedWe demonstrate that our model achieves competitive results in the relation prediction task when evaluated on a widely used dataset.
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18 Apr 2024 1 repository listedInformation extraction (IE) is an important task in Natural Language Processing (NLP), involving the extraction of named entities and their relationships from unstructured text.
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21 Dec 2023 1 repository listedTo address this challenge, we propose Anchoring Path Sentence Transformer (APST) by introducing Anchoring Paths (APs) to alleviate the reliance of CPs.
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27 Nov 2023 1 repository listedLeveraging the recent progress in Large Language Models (LLMs), we propose to use language information to assist relation prediction, particularly for rare relations.
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20 Nov 2023 1 repository listedWe achieve a biomedical multilingual corpus by incorporating three granularity knowledge alignments (entity, fact, and passage levels) into monolingual corpora.
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7 Sep 2023 1 repository listedIn this work, we bridge the gap between traditional transductive knowledge graph embedding approaches and more recent inductive relation prediction models by introducing a generalized form of harmonic extension which…
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26 Aug 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)Knowledge graphs play a vital role in numerous artificial intelligence tasks, yet they frequently face the issue of incompleteness.
Syntology lines on 9 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.
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