SOTAVerified

Relational Reasoning

The goal of Relational Reasoning is to figure out the relationships among different entities, such as image pixels, words or sentences, human skeletons or interactive moving agents.

Source: Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 483 papers

TitleStatusHype
Cross-Graph Learning of Multi-Relational Associations—0
Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts—0
Deep Generative Models for Ultra-High Granularity Particle Physics Detector Simulation: A Voyage From Emulation to Extrapolation—0
Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension—0
Deep Learning for Ontology Reasoning—0
Deep reinforcement learning with relational inductive biases—0
Deep Semantic Abstractions of Everyday Human Activities: On Commonsense Representations of Human Interactions—0
Deep Sets for Generalization in RL—0
Demystifying Relational Latent Representations—0
Desk Organization: Effect of Multimodal Inputs on Spatial Relational Learning—0
DEVICE: DEpth and VIsual ConcEpts Aware Transformer for TextCaps—0
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement—0
Dilated DenseNets for Relational Reasoning—0
Discriminative Gaifman Models—0
Distilling Structured Knowledge for Text-Based Relational Reasoning—0
Distributed Associative Memory Network with Association Reinforcing Loss—0
Does Entity Abstraction Help Generative Transformers Reason?—0
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation—0
Ranking relations using analogies in biological and information networks—0
Reading The Web with Learned Syntactic-Semantic Inference Rules—0
Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical—0
Reasoning-Oriented and Analogy-Based Methods for Locating and Editing in Zero-Shot Event-Relational Reasoning—0
Recent Advances in Heterogeneous Relation Learning for Recommendation—0
Recurrent Relational Memory Network for Unsupervised Image Captioning—0
Recursive Neural Networks Can Learn Logical Semantics—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified