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 276–300 of 712 papers

TitleStatusHype
Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural NetworkCode0
Edge-based sequential graph generation with recurrent neural networksCode0
An Equivariant Generative Framework for Molecular Graph-Structure Co-DesignCode0
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense ReasoningCode0
Multi-Class and Multi-Task Strategies for Neural Directed Link PredictionCode0
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
LTLBench: Towards Benchmarks for Evaluating Temporal Logic Reasoning in Large Language ModelsCode0
LinkNet: Relational Embedding for Scene GraphCode0
DSGG: Dense Relation Transformer for an End-to-end Scene Graph GenerationCode0
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical StudyCode0
MALOnt: An Ontology for Malware Threat IntelligenceCode0
Let There Be Order: Rethinking Ordering in Autoregressive Graph GenerationCode0
Balanced Graph Structure Learning for Multivariate Time Series ForecastingCode0
GraphNVP: An Invertible Flow Model for Generating Molecular GraphsCode0
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph GenerationCode0
KnowZRel: Common Sense Knowledge-based Zero-Shot Relationship Retrieval for Generalised Scene Graph GenerationCode0
Interpretable Deep Graph Generation with Node-Edge Co-DisentanglementCode0
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph GenerationCode0
Disentangled Dynamic Graph Deep GenerationCode0
Input Conditioned Graph Generation for Language AgentsCode0
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive ModelsCode0
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed GraphsCode0
GraphTune: A Learning-based Graph Generative Model with Tunable Structural FeaturesCode0
Improving Graph Generation by Restricting Graph BandwidthCode0
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion ModelCode0
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Benchmark Results

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