SOTAVerified

Graph Generation

Graph Generation is an important research area with significant applications in drug and material designs.

Source: Graph Deconvolutional Generation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–510 of 712 papers

TitleStatusHype
Exploring Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms—0
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study—0
Exploring the Hierarchy in Relation Labels for Scene Graph Generation—0
Exploring the Potential of Large Language Models in Graph Generation—0
Target-Tailored Source-Transformation for Scene Graph Generation—0
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization—0
FairGen: Towards Fair Graph Generation—0
Fairness Amidst Non-IID Graph Data: A Literature Review—0
FairWire: Fair Graph Generation—0
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RNNStreetMover0.03—Unverified
2GraphRNNStreetMover0.02—Unverified
3GGT without CAStreetMover0.02—Unverified
4GGTStreetMover0.02—Unverified