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 351–375 of 712 papers

TitleStatusHype
TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation—0
TD-GEN: Graph Generation With Tree Decomposition—0
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions—0
Bayan Algorithm: Detecting Communities in Networks Through Exact and Approximate Optimization of Modularity—0
The Complexity of Symmetry Breaking Beyond Lex-Leader—0
TOMA: Topological Map Abstraction for Reinforcement Learning—0
Topic Scene Graph Generation by Attention Distillation From Caption—0
Towards a Unified Transformer-based Framework for Scene Graph Generation and Human-object Interaction Detection—0
Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention—0
Towards Flexible Visual Relationship Segmentation—0
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning—0
Towards Localizing Structural Elements: Merging Geometrical Detection with Semantic Verification in RGB-D Data—0
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning—0
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation—0
Towards Unseen Triples: Effective Text-Image-joint Learning for Scene Graph Generation—0
Training-Free Guidance for Discrete Diffusion Models for Molecular Generation—0
Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms—0
Triple Correlations-Guided Label Supplementation for Unbiased Video Scene Graph Generation—0
Two Stream Scene Understanding on Graph Embedding—0
Unbiased Scene Graph Generation by Type-Aware Message Passing on Heterogeneous and Dual Graphs—0
Unbiased Scene Graph Generation using Predicate Similarities—0
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction—0
Unbiased Scene Graph Generation via Two-stage Causal Modeling—0
Unbiased Video Scene Graph Generation via Visual and Semantic Dual Debiasing—0
Unconditional 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