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 626–650 of 712 papers

TitleStatusHype
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense ReasoningCode0
MALOnt: An Ontology for Malware Threat IntelligenceCode0
Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph GenerationCode0
Federated Voxel Scene Graph for Intracranial HemorrhageCode0
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph GenerationCode0
LTLBench: Towards Benchmarks for Evaluating Temporal Logic Reasoning in Large Language ModelsCode0
Extend, don’t rebuild: Phrasing conditional graph modification as autoregressive sequence labellingCode0
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical StudyCode0
RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion RecognitionCode0
SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL TranslationCode0
Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural NetworkCode0
LinkNet: Relational Embedding for Scene GraphCode0
Exploiting Long-Term Dependencies for Generating Dynamic Scene GraphsCode0
Recovering Barabási-Albert Parameters of Graphs through DisentanglementCode0
ReFormer: The Relational Transformer for Image CaptioningCode0
Let There Be Order: Rethinking Ordering in Autoregressive Graph GenerationCode0
Balanced Graph Structure Learning for Multivariate Time Series ForecastingCode0
Reinforced Molecular Optimization with Neighborhood-Controlled GrammarsCode0
Adaptive Visual Scene Understanding: Incremental Scene Graph GenerationCode0
SteinGen: Generating Fidelitous and Diverse Graph SamplesCode0
KnowZRel: Common Sense Knowledge-based Zero-Shot Relationship Retrieval for Generalised Scene Graph GenerationCode0
Interpretable Deep Graph Generation with Node-Edge Co-DisentanglementCode0
Unsupervised Knowledge Graph Generation Using Semantic Similarity MatchingCode0
A Deep Probabilistic Framework for Continuous Time Dynamic Graph GenerationCode0
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