Knowledge Graphs

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

46 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 46 until expanded.

Subtasks archive 2025-07-28

5 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 1,273 papers with code (2,974 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.
• Open Graph Benchmark: Datasets for Machine Learning on Graphs
  2 May 2020 21 repositories listed Syntology ran 2 of 17 samples · 15 unverified · 15 pointer-only (licence)
  We present the Open Graph Benchmark (OGB), a diverse set of challenging and realistic benchmark datasets to facilitate scalable, robust, and reproducible graph machine learning (ML) research.
• Embedding Logical Queries on Knowledge Graphs
  5 Jun 2018 12 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 1 pointer-only (licence)
  Learning low-dimensional embeddings of knowledge graphs is a powerful approach used to predict unobserved or missing edges between entities.
• 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.
• Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
  22 Oct 2020 9 repositories listed Syntology ran 8 of 14 samples · 6 unverified · 1 pointer-only (licence)
  Logical operations are performed in the embedding space by neural operators over the probabilistic embeddings.
• Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
  14 Feb 2020 9 repositories listed Syntology ran 30 of 41 samples · 11 unverified · 2 pointer-only (licence)
  Our main insight is that queries can be embedded as boxes (i.
• 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.
• KGAT: Knowledge Graph Attention Network for Recommendation
  20 May 2019 7 repositories listed Syntology ran 7 of 13 samples · 6 unverified · 1 pointer-only (licence)
  To provide more accurate, diverse, and explainable recommendation, it is compulsory to go beyond modeling user-item interactions and take side information into account.
• Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
  8 Feb 2024 6 repositories listed Syntology ran 9 of 18 samples · 9 unverified
  In this survey, we carefully review over 300 articles, focusing on KG-aware research in two principal aspects: KG-driven Multi-Modal (KG4MM) learning, where KGs support multi-modal tasks, and Multi-Modal Knowledge Graph…
• QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
  13 Apr 2021 6 repositories listed Syntology ran 1 of 25 samples · 24 unverified · 4 pointer-only (licence)
  The problem of answering questions using knowledge from pre-trained language models (LMs) and knowledge graphs (KGs) presents two challenges: given a QA context (question and answer choice), methods need to (i) identify…
• OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
  17 Mar 2021 6 repositories listed
  Enabling effective and efficient machine learning (ML) over large-scale graph data (e.
• Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
  11 May 2019 6 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Here we propose Knowledge-aware Graph Neural Networks with Label Smoothness regularization (KGNN-LS) to provide better recommendations.
• Complex Query Answering with Neural Link Predictors
  6 Nov 2020 5 repositories listed Syntology ran 5 of 7 samples · 2 unverified · 4 pointer-only (licence)
  Finally, we demonstrate that it is possible to explain the outcome of our model in terms of the intermediate solutions identified for each of the complex query atoms.
• RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
  8 Oct 2020 5 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Then in the E-step, we select a set of high-quality rules from all generated rules with both the rule generator and reasoning predictor via posterior inference; and in the M-step, the rule generator is updated with the…
• MMKG: Multi-Modal Knowledge Graphs
  13 Mar 2019 5 repositories listed
  We present MMKG, a collection of three knowledge graphs that contain both numerical features and (links to) images for all entities as well as entity alignments between pairs of KGs.
• TuckER: Tensor Factorization for Knowledge Graph Completion
  28 Jan 2019 5 repositories listed
  Knowledge graphs are structured representations of real world facts.
• X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design
  11 Feb 2024 4 repositories listed
  Starting with a set of pre-trained LoRA adapters, our gating strategy uses the hidden states to dynamically mix adapted layers, allowing the resulting X-LoRA model to draw upon different capabilities and create…
• 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.
• NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
  23 Jun 2021 4 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  To this end, we propose NodePiece, an anchor-based approach to learn a fixed-size entity vocabulary.
• Logic Embeddings for Complex Query Answering
  28 Feb 2021 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Answering logical queries over incomplete knowledge bases is challenging because: 1) it calls for implicit link prediction, and 2) brute force answering of existential first-order logic queries is exponential in the…
• 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…
• Holographic Embeddings of Knowledge Graphs
  16 Oct 2015 4 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  Learning embeddings of entities and relations is an efficient and versatile method to perform machine learning on relational data such as knowledge graphs.
• TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
  14 Jun 2024 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  To address these challenges, we introduce Temporal Graph Benchmark 2.
• Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?
  29 Sep 2023 3 repositories listed
  Large Language Models (LLMs) are advancing at a rapid pace, with significant improvements at natural language processing and coding tasks.
• Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
  15 Jul 2023 3 repositories listed Syntology ran 11 of 16 samples · 5 unverified · 15 pointer-only (licence)
  Although large language models (LLMs) have achieved significant success in various tasks, they often struggle with hallucination problems, especially in scenarios requiring deep and responsible reasoning.
• Step by step: a hierarchical framework for multi-hop knowledge graph reasoning with reinforcement learning
  19 Jul 2022 3 repositories listed
  Due to this one-to-many dilemma, enlarged action space and ignoring logical relationship between entity and relation increase the difficulty of learning.
• 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.
• VOGUE: Answer Verbalization through Multi-Task Learning
  24 Jun 2021 3 repositories listed
  The VOGUE framework attempts to generate a verbalized answer using a hybrid approach through a multi-task learning paradigm.

Syntology lines on 20 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.