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Relational Reasoning

40 papers with code · Natural Language Processing

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Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming

23 Mar 2020dnlRRL2020/RRL

Most importantly, it allows for incorporating expert knowledge into the learning, and hence leading to much faster learning and better generalization compared to the standard deep reinforcement learning.

RELATIONAL REASONING

0
23 Mar 2020

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

52
17 Mar 2020

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

2 Feb 2020pizzaonline/Knowledge-Graph

In this survey, we provide a comprehensive review on knowledge graph covering overall research topics about 1) knowledge graph representation learning, 2) knowledge acquisition and completion, 3) temporal knowledge graph, and 4) knowledge-aware applications, and summarize recent breakthroughs and perspective directions to facilitate future research.

GRAPH REPRESENTATION LEARNING KNOWLEDGE GRAPH COMPLETION KNOWLEDGE GRAPH EMBEDDING RELATIONAL REASONING

0
02 Feb 2020

Quantum Embedding of Knowledge for Reasoning

NeurIPS 2019 IBM/e2r

Statistical Relational Learning (SRL) methods are the most widely used techniques to generate distributional representations of the symbolic Knowledge Bases (KBs).

RELATIONAL REASONING

6
01 Dec 2019

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

42
16 Nov 2019

Interaction Relational Network for Mutual Action Recognition

11 Oct 2019mauriciolp/inter-rel-net

In order to better represent the interaction, we define two different relationships, leading to specialized architectures and models for each.

RELATIONAL REASONING

2
11 Oct 2019

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

49
01 Oct 2019

Relationships from Entity Stream

7 Sep 2019mdda/relationships-from-entity-stream

Relational reasoning is a central component of intelligent behavior, but has proven difficult for neural networks to learn.

RELATIONAL REASONING

5
07 Sep 2019

Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs

IJCNLP 2019 AnselCmy/MetaR

Link prediction is an important way to complete knowledge graphs (KGs), while embedding-based methods, effective for link prediction in KGs, perform poorly on relations that only have a few associative triples.

KNOWLEDGE GRAPHS LINK PREDICTION RELATIONAL REASONING

30
04 Sep 2019

Relation Network for Multi-label Aerial Image Classification

16 Jul 2019Hua-YS/AID-Multilabel-Dataset

Particularly, our network consists of three elemental modules: 1) a label-wise feature parcel learning module, 2) an attentional region extraction module, and 3) a label relational inference module.

IMAGE CLASSIFICATION MULTI-LABEL CLASSIFICATION RELATIONAL REASONING

3
16 Jul 2019