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 376–400 of 712 papers

TitleStatusHype
ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding—0
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms—0
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning—0
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development—0
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection—0
Explore Contextual Information for 3D Scene Graph Generation—0
Exploring Context and Visual Pattern of Relationship for Scene Graph Generation—0
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
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search—0
Flatten Graphs as Sequences: Transformers are Scalable Graph Generators—0
FLOWGEN: Fast and slow graph generation—0
Focused Discriminative Training For Streaming CTC-Trained Automatic Speech Recognition Models—0
Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements—0
FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching—0
FreeQ-Graph: Free-form Querying with Semantic Consistent Scene Graph for 3D Scene Understanding—0
From Data to Modeling: Fully Open-vocabulary Scene Graph Generation—0
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Benchmark Results

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