SOTAVerified

Graph Generation

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

Source: Graph Deconvolutional Generation

Papers

Showing 251300 of 712 papers

TitleStatusHype
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph GenerationCode0
Recovering Barabási-Albert Parameters of Graphs through DisentanglementCode0
Extend, don’t rebuild: Phrasing conditional graph modification as autoregressive sequence labellingCode0
ReFormer: The Relational Transformer for Image CaptioningCode0
SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph RetrievalCode0
Top-N: Equivariant set and graph generation without exchangeabilityCode0
Pixels to Graphs by Associative EmbeddingCode0
Pixel-wise Graph Attention Networks for Person Re-identificationCode0
Exploiting Long-Term Dependencies for Generating Dynamic Scene GraphsCode0
Pre-Training on Dynamic Graph Neural NetworksCode0
Explanation Graph Generation via Generative Pre-training over Synthetic GraphsCode0
Aesthetic Discrimination of Graph LayoutsCode0
Optimized Crystallographic Graph Generation for Material ScienceCode0
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain MappingCode0
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph GenerationCode0
Node Embedding via Word Embedding for Network Community DiscoveryCode0
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence RoboticsCode0
An Unpooling Layer for Graph GenerationCode0
Encoding Robust Representation for Graph GenerationCode0
Cascading Large Language Models for Salient Event Graph GenerationCode0
On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpediaCode0
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted NarrativesCode0
Natural Language Processing for Music Knowledge DiscoveryCode0
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph GenerationCode0
Multi-Class and Multi-Task Strategies for Neural Directed Link PredictionCode0
NetGAN: Generating Graphs via Random WalksCode0
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense ReasoningCode0
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
LTLBench: Towards Benchmarks for Evaluating Temporal Logic Reasoning in Large Language ModelsCode0
MALOnt: An Ontology for Malware Threat IntelligenceCode0
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
LinkNet: Relational Embedding for Scene GraphCode0
DSGG: Dense Relation Transformer for an End-to-end Scene Graph GenerationCode0
Graphs over Time: Densification Laws, Shrinking Diameters and Possible ExplanationsCode0
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive ModelsCode0
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical StudyCode0
GraphNVP: An Invertible Flow Model for Generating Molecular GraphsCode0
Balanced Graph Structure Learning for Multivariate Time Series ForecastingCode0
Let There Be Order: Rethinking Ordering in Autoregressive Graph GenerationCode0
KnowZRel: Common Sense Knowledge-based Zero-Shot Relationship Retrieval for Generalised Scene Graph GenerationCode0
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion ModelCode0
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
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed GraphsCode0
GraphTune: A Learning-based Graph Generative Model with Tunable Structural FeaturesCode0
Image Scene Graph Generation (SGG) BenchmarkCode0
Improving Graph Generation by Restricting Graph BandwidthCode0
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Benchmark Results

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