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Relational Reasoning

40 papers with code · Natural Language Processing

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Neural Logic Machines

ICLR 2019 google/neural-logic-machines

We propose the Neural Logic Machine (NLM), a neural-symbolic architecture for both inductive learning and logic reasoning.

DECISION MAKING RELATIONAL REASONING

One-Shot Relational Learning for Knowledge Graphs

EMNLP 2018 xwhan/One-shot-Relational-Learning

Knowledge graphs (KGs) are the key components of various natural language processing applications.

KNOWLEDGE GRAPH COMPLETION RELATIONAL REASONING

MUREL: Multimodal Relational Reasoning for Visual Question Answering

CVPR 2019 Cadene/murel.bootstrap.pytorch

In this paper, we propose MuRel, a multimodal relational network which is learned end-to-end to reason over real images.

RELATIONAL REASONING VISUAL QUESTION ANSWERING

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs

ICML 2017 INK-USC/RENet

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.

ENTITY EMBEDDINGS KNOWLEDGE GRAPHS RELATIONAL REASONING

Graph-Based Global Reasoning Networks

CVPR 2019 facebookresearch/GloRe

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 efficiently computed.

IMAGE CLASSIFICATION RELATIONAL REASONING SEMANTIC SEGMENTATION TEMPORAL ACTION LOCALIZATION

Multi-task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs

16 Aug 2017BaeSeulki/WhySoMuch

Unfortunately, many state-of-the-art relational learning models ignore this information due to the challenging nature of dealing with non-discrete data types in the inherently binary-natured knowledge graphs.

KNOWLEDGE GRAPHS MULTI-TASK LEARNING RELATIONAL REASONING

Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection

17 Mar 2020GXYM/DRRG

In this paper, we propose a novel unified relational reasoning graph network for arbitrary shape text detection.

GRAPH CONSTRUCTION RELATIONAL REASONING

Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation

1 Oct 2019logictensornetworks/logictensornetworks

This requires the detection of visual relationships: triples (subject, relation, object) describing a semantic relation between a subject and an object.

RELATIONAL REASONING TENSOR NETWORKS ZERO-SHOT LEARNING

Inductive Relation Prediction by Subgraph Reasoning

16 Nov 2019muhanzhang/IGMC

The dominant paradigm for relation prediction in knowledge graphs involves learning and operating on latent representations (i. e., embeddings) of entities and relations.

KNOWLEDGE GRAPH COMPLETION KNOWLEDGE GRAPH EMBEDDING QUESTION ANSWERING RELATIONAL REASONING

Adversarial Sets for Regularising Neural Link Predictors

24 Jul 2017uclmr/inferbeddings

The training objective is defined as a minimax problem, where an adversary finds the most offending adversarial examples by maximising the inconsistency loss, and the model is trained by jointly minimising a supervised loss and the inconsistency loss on the adversarial examples.

LINK PREDICTION RELATIONAL REASONING