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

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Showing 2151–2175 of 2974 papers

TitleStatusHype
Zero-shot Slot Filling with DPR and RAGCode1
Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge TranslationCode0
Faithfully Explainable Recommendation via Neural Logic ReasoningCode1
Finding Motifs in Knowledge Graphs using CompressionCode0
Improving Hyper-Relational Knowledge Graph CompletionCode0
Membership Inference Attacks on Knowledge Graphs—0
NePTuNe: Neural Powered Tucker Network for Knowledge Graph CompletionCode1
Applying Personal Knowledge Graphs to Health—0
Quadratic GCN for Graph ClassificationCode0
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question AnsweringCode1
On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs—0
Edge: Enriching Knowledge Graph Embeddings with External Text—0
KI-BERT: Infusing Knowledge Context for Better Language and Domain Understanding—0
AdCOFE: Advanced Contextual Feature Extraction in Conversations for emotion classification—0
CBench: Towards Better Evaluation of Question Answering Over Knowledge GraphsCode1
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention NetworksCode1
SERAG: Semantic Entity Retrieval from Arabic Knowledge Graphs—0
Complex Question Answering on knowledge graphs using machine translation and multi-task learning—0
COCO-EX: A Tool for Linking Concepts from Texts to ConceptNet—0
Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained TransformersCode1
Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web—0
Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample MiningCode1
Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension—0
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask BenchmarkCode1
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical RecordsCode1
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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