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 251–300 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
RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion RecognitionCode0
Reinforced Molecular Optimization with Neighborhood-Controlled GrammarsCode0
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge BaseCode0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
Pre-Training on Dynamic Graph Neural NetworksCode0
Pixels to Graphs by Associative EmbeddingCode0
Pixel-wise Graph Attention Networks for Person Re-identificationCode0
Exploiting Long-Term Dependencies for Generating Dynamic Scene GraphsCode0
Explanation Graph Generation via Generative Pre-training over Synthetic GraphsCode0
Aesthetic Discrimination of Graph LayoutsCode0
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
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph GenerationCode0
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain MappingCode0
An Unpooling Layer for Graph GenerationCode0
Node Embedding via Word Embedding for Network Community DiscoveryCode0
Encoding Robust Representation for Graph GenerationCode0
Cascading Large Language Models for Salient Event Graph GenerationCode0
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted NarrativesCode0
Natural Language Processing for Music Knowledge DiscoveryCode0
NetGAN: Generating Graphs via Random WalksCode0
Optimized Crystallographic Graph Generation for Material ScienceCode0
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
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense ReasoningCode0
Multi-Class and Multi-Task Strategies for Neural Directed Link PredictionCode0
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
LTLBench: Towards Benchmarks for Evaluating Temporal Logic Reasoning in Large Language ModelsCode0
LinkNet: Relational Embedding for Scene GraphCode0
DSGG: Dense Relation Transformer for an End-to-end Scene Graph GenerationCode0
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical StudyCode0
MALOnt: An Ontology for Malware Threat IntelligenceCode0
Let There Be Order: Rethinking Ordering in Autoregressive Graph GenerationCode0
Balanced Graph Structure Learning for Multivariate Time Series ForecastingCode0
GraphNVP: An Invertible Flow Model for Generating Molecular GraphsCode0
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph GenerationCode0
KnowZRel: Common Sense Knowledge-based Zero-Shot Relationship Retrieval for Generalised Scene Graph GenerationCode0
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
Input Conditioned Graph Generation for Language AgentsCode0
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive ModelsCode0
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed GraphsCode0
GraphTune: A Learning-based Graph Generative Model with Tunable Structural FeaturesCode0
Improving Graph Generation by Restricting Graph BandwidthCode0
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