SOTAVerified

Graph Generation

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

Source: Graph Deconvolutional Generation

Papers

Showing 251275 of 712 papers

TitleStatusHype
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted NarrativesCode0
Exploiting Long-Term Dependencies for Generating Dynamic Scene GraphsCode0
Natural Language Processing for Music Knowledge DiscoveryCode0
Node Embedding via Word Embedding for Network Community DiscoveryCode0
Explanation Graph Generation via Generative Pre-training over Synthetic GraphsCode0
Multi-Class and Multi-Task Strategies for Neural Directed Link PredictionCode0
Aesthetic Discrimination of Graph LayoutsCode0
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph GenerationCode0
LTLBench: Towards Benchmarks for Evaluating Temporal Logic Reasoning in Large Language ModelsCode0
MALOnt: An Ontology for Malware Threat IntelligenceCode0
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph GenerationCode0
LinkNet: Relational Embedding for Scene GraphCode0
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical StudyCode0
Let There Be Order: Rethinking Ordering in Autoregressive Graph GenerationCode0
An Unpooling Layer for Graph GenerationCode0
Encoding Robust Representation for Graph GenerationCode0
Cascading Large Language Models for Salient Event Graph GenerationCode0
Balanced Graph Structure Learning for Multivariate Time Series ForecastingCode0
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense ReasoningCode0
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain MappingCode0
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
KnowZRel: Common Sense Knowledge-based Zero-Shot Relationship Retrieval for Generalised Scene Graph GenerationCode0
DSGG: Dense Relation Transformer for an End-to-end Scene Graph GenerationCode0
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Benchmark Results

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