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 331–340 of 712 papers

TitleStatusHype
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space—0
ReCon1M:A Large-scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery—0
Cometh: A continuous-time discrete-state graph diffusion model—0
Variational Flow Matching for Graph Generation—0
Semantic Similarity Score for Measuring Visual Similarity at Semantic Level—0
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos—0
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens—0
Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion ModelsCode0
Exploring Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms—0
Score-based Generative Models with Adaptive Momentum—0
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Benchmark Results

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