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 661–670 of 712 papers

TitleStatusHype
On Certified Generalization in Structured Prediction—0
Open-Vocabulary Object Detection via Scene Graph Discovery—0
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision—0
ORQA: A Benchmark and Foundation Model for Holistic Operating Room Modeling—0
Out-of-Distribution Graph Models Merging—0
Overcoming Order in Autoregressive Graph Generation—0
Overview of the Third Workshop on Scholarly Document Processing—0
What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs—0
Peer Learning for Unbiased Scene Graph Generation—0
Perspectives on neural proof nets—0
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Benchmark Results

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