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 491–500 of 712 papers

TitleStatusHype
Explore Contextual Information for 3D Scene Graph Generation—0
Gradient-Guided Importance Sampling for Learning Binary Energy-Based ModelsCode0
A Framework for Large Scale Synthetic Graph Dataset Generation—0
Unbiased Scene Graph Generation using Predicate Similarities—0
Benchmark for Research Theme Classification of Scholarly DocumentsCode0
Overview of the Third Workshop on Scholarly Document Processing—0
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction—0
SCGG: A Deep Structure-Conditioned Graph Generative Model—0
Bayan Algorithm: Detecting Communities in Networks Through Exact and Approximate Optimization of Modularity—0
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories—0
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Benchmark Results

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