Relational Reasoning

Description from the archive archive 2025-07-28.

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

12 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 179 papers with code (483 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.

• Relational inductive biases, deep learning, and graph networks
  4 Jun 2018 31 repositories listed Syntology ran 13 of 51 samples · 38 unverified · 15 pointer-only (licence)
  As a companion to this paper, we have released an open-source software library for building graph networks, with demonstrations of how to use them in practice.
• A simple neural network module for relational reasoning
  5 Jun 2017 20 repositories listed Syntology ran 3 of 7 samples · 4 unverified · 1 pointer-only (licence)
  Relational reasoning is a central component of generally intelligent behavior, but has proven difficult for neural networks to learn.
• 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.
• Graph-Based Global Reasoning Networks
  30 Nov 2018 9 repositories listed Syntology ran 8 of 15 samples · 7 unverified · 4 pointer-only (licence)
  In this work, we propose a new approach for reasoning globally in which a set of features are globally aggregated over the coordinate space and then projected to an interaction space where relational reasoning can be…
• Complex Embeddings for Simple Link Prediction
  20 Jun 2016 9 repositories listed
  In statistical relational learning, the link prediction problem is key to automatically understand the structure of large knowledge bases.
• Relational Deep Reinforcement Learning
  5 Jun 2018 7 repositories listed Syntology ran 4 of 8 samples · 4 unverified · 4 pointer-only (licence)
  We introduce an approach for deep reinforcement learning (RL) that improves upon the efficiency, generalization capacity, and interpretability of conventional approaches through structured perception and relational…
• Fast Graph Representation Learning with PyTorch Geometric
  6 Mar 2019 6 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  We introduce PyTorch Geometric, a library for deep learning on irregularly structured input data such as graphs, point clouds and manifolds, built upon PyTorch.
• Recurrent Relational Networks
  21 Nov 2017 6 repositories listed
  We achieve state of the art results on the bAbI textual question-answering dataset with the recurrent relational network, consistently solving 20/20 tasks.
• CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
  16 Aug 2019 5 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  The recent success of natural language understanding (NLU) systems has been troubled by results highlighting the failure of these models to generalize in a systematic and robust way.
• Temporal Relational Reasoning in Videos
  22 Nov 2017 5 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Temporal relational reasoning, the ability to link meaningful transformations of objects or entities over time, is a fundamental property of intelligent species.
• Your Diffusion Model is Secretly a Zero-Shot Classifier
  28 Mar 2023 4 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 1 pointer-only (licence)
  Our generative approach to classification, which we call Diffusion Classifier, attains strong results on a variety of benchmarks and outperforms alternative methods of extracting knowledge from diffusion models.
• 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.
• RLIPv2: Fast Scaling of Relational Language-Image Pre-training
  18 Aug 2023 3 repositories listed Syntology ran 22 of 30 samples · 8 unverified
  In this paper, we propose RLIPv2, a fast converging model that enables the scaling of relational pre-training to large-scale pseudo-labelled scene graph data.
• An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning
  11 Sep 2021 3 repositories listed
  We demonstrate that compared to LTNs, RWFNs can achieve better or similar performance for both object classification and detection of the part-of relations between objects in SII tasks while using much far fewer…
• Learning from Protein Structure with Geometric Vector Perceptrons
  3 Sep 2020 3 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  Learning on 3D structures of large biomolecules is emerging as a distinct area in machine learning, but there has yet to emerge a unifying network architecture that simultaneously leverages the graph-structured and…
• Generative 3D Part Assembly via Dynamic Graph Learning
  14 Jun 2020 3 repositories listed
  Analogous to buying an IKEA furniture, given a set of 3D parts that can assemble a single shape, an intelligent agent needs to perceive the 3D part geometry, reason to propose pose estimations for the input parts, and…
• CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
  9 Nov 2019 3 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  In this paper, we present a constrained text generation task, CommonGen associated with a benchmark dataset, to explicitly test machines for the ability of generative commonsense reasoning.
• Disentangling and Integrating Relational and Sensory Information in Transformer Architectures
  26 May 2024 2 repositories listed Syntology ran 14 of 21 samples · 7 unverified
  Relational reasoning is a central component of generally intelligent systems, enabling robust and data-efficient inductive generalization.
• MLPs Learn In-Context on Regression and Classification Tasks
  24 May 2024 2 repositories listed Syntology ran 2 of 16 samples · 14 unverified
  In-context learning (ICL), the remarkable ability to solve a task from only input exemplars, is often assumed to be a unique hallmark of Transformer models.
• Visual Causal Scene Refinement for Video Question Answering
  7 May 2023 2 repositories listed
  Our VCSR involves two essential modules: i) the Question-Guided Refiner (QGR) module, which refines consecutive video frames guided by the question semantics to obtain more representative segment features for causal…
• Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering
  26 Jul 2022 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Existing visual question answering methods often suffer from cross-modal spurious correlations and oversimplified event-level reasoning processes that fail to capture event temporality, causality, and dynamics spanning…
• Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding
  28 Jan 2022 2 repositories listed Syntology ran 1 of 8 samples · 7 unverified · 8 pointer-only (licence)
  Global and local relational reasoning enable scene understanding models to perform human-like scene analysis and understanding.
• Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection
  20 Nov 2021 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Furthermore, background knowledge represented by RWFNs can be used to alleviate the incompleteness of training sets even though the space complexity of RWFNs is much smaller than LTNs (1:27 ratio).
• RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images
  27 Oct 2021 2 repositories listed
  Salient object detection (SOD) for optical remote sensing images (RSIs) aims at locating and extracting visually distinctive objects/regions from the optical RSIs.
• Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA
  17 Mar 2021 2 repositories listed Syntology ran 1 of 5 samples · 4 unverified · 5 pointer-only (licence)
  Recent works have shown that supervised models often exploit data artifacts to achieve good test scores while their performance severely degrades on samples outside their training distribution.
• Logic Tensor Networks
  25 Dec 2020 2 repositories listed
  In this paper, we present Logic Tensor Networks (LTN), a neurosymbolic formalism and computational model that supports learning and reasoning through the introduction of a many-valued, end-to-end differentiable…
• Fusing Context Into Knowledge Graph for Commonsense Question Answering
  9 Dec 2020 2 repositories listed
  However, although a KG contains rich structural information, it lacks the context to provide a more precise understanding of the concepts.
• Scale-Localized Abstract Reasoning
  20 Sep 2020 2 repositories listed Syntology ran 2 of 17 samples · 15 unverified
  First, it searches for relational patterns in multiple resolutions, which allows it to readily detect visual relations, such as location, in higher resolution, while allowing the lower resolution module to focus on…
• Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning
  1 Aug 2020 2 repositories listed Syntology ran 1 of 10 samples · 9 unverified
  The derived uncertainty-based ranking loss is found to significantly boost model performance by improving the quality of relational features.
• Learning Reasoning Strategies in End-to-End Differentiable Proving
  13 Jul 2020 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Attempts to render deep learning models interpretable, data-efficient, and robust have seen some success through hybridisation with rule-based systems, for example, in Neural Theorem Provers (NTPs).

Syntology lines on 22 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.