SOTAVerified

Knowledge Graphs

A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2051–2075 of 2974 papers

TitleStatusHype
Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation—0
Translating Universal Scene Descriptions into Knowledge Graphs for Robotic Environment—0
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models—0
TRIFFID: Autonomous Robotic Aid For Increasing First Responders Efficiency—0
Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks—0
Triple2Vec: Learning Triple Embeddings from Knowledge Graphs—0
Triple Classification for Scholarly Knowledge Graph Completion—0
Triplètoile: Extraction of Knowledge from Microblogging Text—0
TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking—0
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination—0
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs—0
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs—0
Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment—0
Type-augmented Relation Prediction in Knowledge Graphs—0
Type-based Neural Link Prediction Adapter for Complex Query Answering—0
Type-Constrained Representation Learning in Knowledge Graphs—0
UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question Answering—0
UINSUSKA-TiTech at SemEval-2017 Task 3: Exploiting Word Importance Levels for Similarity Features for CQA—0
Uncertainty Management in the Construction of Knowledge Graphs: a Survey—0
Understanding the Effect of Knowledge Graph Extraction Error on Downstream Graph Analyses: A Case Study on Affiliation Graphs—0
UNER: Universal Named-Entity RecognitionFramework—0
UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models—0
Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning—0
Unifying Large Language Models and Knowledge Graphs: A Roadmap—0
Unleashing the Power of Transformer for Graphs—0
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All datasetsMARS (Multimodal Analogical Reasoning dataSet)JerichoWorldWikiKG90M-LSCFB15k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MarT_MKGformerMRR0.34—Unverified
2MKGformerMRR0.32—Unverified
3MarT_FLAVAMRR0.29—Unverified
4ViLBERTMRR0.29—Unverified
5IKRL (ANALOGY)MRR0.28—Unverified
6IKRLMRR0.27—Unverified
7ViLTMRR0.26—Unverified
8TransAEMRR0.22—Unverified
#ModelMetricClaimedVerifiedStatus
1WorldformerSet accuracy39.15—Unverified
2Q*BERTSet accuracy32.78—Unverified
3GATA-WSet accuracy24.06—Unverified
4WorldformerSet accuracy23.22—Unverified
5Seq2SeqSet accuracy14.29—Unverified
6RulesSet accuracy4.7—Unverified
#ModelMetricClaimedVerifiedStatus
1TransE-ConcatTest MRR85.48—Unverified
2ComplEx-ConcatTest MRR0.86—Unverified
3ComplEx-RoBERTaTest MRR0.72—Unverified
4TransE-RoBERTaTest MRR0.63—Unverified
#ModelMetricClaimedVerifiedStatus
1COMPLEXMRR0.59—Unverified