SOTAVerified

Graph Generation

Graph Generation is an important research area with significant applications in drug and material designs.

Source: Graph Deconvolutional Generation

Papers

Showing 261270 of 712 papers

TitleStatusHype
MALOnt: An Ontology for Malware Threat IntelligenceCode0
LTLBench: Towards Benchmarks for Evaluating Temporal Logic Reasoning in Large Language ModelsCode0
Let There Be Order: Rethinking Ordering in Autoregressive Graph GenerationCode0
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph GenerationCode0
LinkNet: Relational Embedding for Scene GraphCode0
An Unpooling Layer for Graph GenerationCode0
Encoding Robust Representation for Graph GenerationCode0
Cascading Large Language Models for Salient Event Graph GenerationCode0
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical StudyCode0
Balanced Graph Structure Learning for Multivariate Time Series ForecastingCode0
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Benchmark Results

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