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 476–500 of 712 papers

TitleStatusHype
Peer Learning for Unbiased Scene Graph Generation—0
EDoG: Adversarial Edge Detection For Graph Neural Networks—0
SrTR: Self-reasoning Transformer with Visual-linguistic Knowledge for Scene Graph Generation—0
Molecular Graph Generation by Decomposition and Reassembling—0
Iterative Scene Graph Generation with Generative Transformers—0
SGDraw: Scene Graph Drawing Interface Using Object-Oriented RepresentationCode0
NVDiff: Graph Generation through the Diffusion of Node Vectors—0
An Enhanced Object Detection Model for Scene Graph Generation—0
Clustering based opcode graph generation for malware variant detection—0
SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation—0
Perspectives on neural proof nets—0
Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds—0
Generative modeling of the enteric nervous system employing point pattern analysis and graph construction—0
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation—0
G2A2: An Automated Graph Generator with Attributes and Anomalies—0
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