SOTAVerified

Graph Generation

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

Source: Graph Deconvolutional Generation

Papers

Showing 201225 of 712 papers

TitleStatusHype
Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain GraphCode1
Fast Graph Generation via Spectral DiffusionCode1
Manga109Dialog: A Large-scale Dialogue Dataset for Comics Speaker DetectionCode1
Vision Relation Transformer for Unbiased Scene Graph GenerationCode1
Fine-Grained Evaluation of Large Vision-Language Models in Autonomous DrivingCode1
Context-Aware Scene Graph Generation With Seq2Seq TransformersCode1
Fine-Grained Predicates Learning for Scene Graph GenerationCode1
Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion ModelsCode0
Pixels to Graphs by Associative EmbeddingCode0
Pixel-wise Graph Attention Networks for Person Re-identificationCode0
Addressing the Impact of Localized Training Data in Graph Neural NetworksCode0
Pre-Training on Dynamic Graph Neural NetworksCode0
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph GeneratorsCode0
Optimized Crystallographic Graph Generation for Material ScienceCode0
Adaptive Visual Scene Understanding: Incremental Scene Graph GenerationCode0
Node Embedding via Word Embedding for Network Community DiscoveryCode0
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain MappingCode0
NetGAN: Generating Graphs via Random WalksCode0
Natural Language Processing for Music Knowledge DiscoveryCode0
Heuristic Semi-Supervised Learning for Graph Generation Inspired by Electoral CollegeCode0
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted NarrativesCode0
Multi-Class and Multi-Task Strategies for Neural Directed Link PredictionCode0
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph GenerationCode0
After All, Only The Last Neuron Matters: Comparing Multi-modal Fusion Functions for Scene Graph GenerationCode0
Fine-Grained Scene Graph Generation via Sample-Level Bias PredictionCode0
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Benchmark Results

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