SOTAVerified

Graph Generation

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

Source: Graph Deconvolutional Generation

Papers

Showing 601650 of 712 papers

TitleStatusHype
Cascading Large Language Models for Salient Event Graph GenerationCode0
Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic GroundingCode0
On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpediaCode0
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence RoboticsCode0
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain MappingCode0
Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion ModelsCode0
Node Embedding via Word Embedding for Network Community DiscoveryCode0
NetGAN: Generating Graphs via Random WalksCode0
Understanding the Representation Power of Graph Neural Networks in Learning Graph TopologyCode0
Natural Language Processing for Music Knowledge DiscoveryCode0
Towards Fast Graph Generation via Autoregressive Noisy Filtration ModelingCode0
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted NarrativesCode0
Pixels to Graphs by Associative EmbeddingCode0
Pixel-wise Graph Attention Networks for Person Re-identificationCode0
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph GeneratorsCode0
A Scalable AutoML Approach Based on Graph Neural NetworksCode0
Situational Scene Graph for Structured Human-centric Situation UnderstandingCode0
Heuristic Semi-Supervised Learning for Graph Generation Inspired by Electoral CollegeCode0
Skew Class-balanced Re-weighting for Unbiased Scene Graph GenerationCode0
Fine-Grained Scene Graph Generation via Sample-Level Bias PredictionCode0
Pre-Training on Dynamic Graph Neural NetworksCode0
Addressing the Impact of Localized Training Data in Graph Neural NetworksCode0
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired DatasetCode0
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph GenerationCode0
Multi-Class and Multi-Task Strategies for Neural Directed Link PredictionCode0
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
1RNNStreetMover0.03Unverified
2GraphRNNStreetMover0.02Unverified
3GGT without CAStreetMover0.02Unverified
4GGTStreetMover0.02Unverified