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 401–450 of 712 papers

TitleStatusHype
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems—0
A Framework for Large Scale Synthetic Graph Dataset Generation—0
A graph similarity for deep learning—0
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks—0
A Modern Take on Visual Relationship Reasoning for Grasp Planning—0
An Accurate Graph Generative Model with Tunable Features—0
AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Models—0
Analyzing Hong Kong's Legal Judgments from a Computational Linguistics point-of-view—0
An Automated Domain Understanding Technique for Knowledge Graph Generation—0
An End-to-End Network for Generating Social Relationship Graphs—0
An Enhanced Object Detection Model for Scene Graph Generation—0
An Interpretable Model for Scene Graph Generation—0
A Novel Weighted Distance Measure for Multi-Attributed Graph—0
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model—0
A posteriori multi-stage optimal trading under transaction costs and a diversification constraint—0
Approximate Query Matching for Image Retrieval—0
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation—0
A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition—0
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing—0
A Simple Baseline for Weakly-Supervised Scene Graph Generation—0
Assisting Scene Graph Generation with Self-Supervision—0
A Survey on Deep Graph Generation: Methods and Applications—0
A Systematic Survey on Deep Generative Models for Graph Generation—0
Attentive Relational Networks for Mapping Images to Scene Graphs—0
A Tunable Model for Graph Generation Using LSTM and Conditional VAE—0
AUG: A New Dataset and An Efficient Model for Aerial Image Urban Scene Graph Generation—0
Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production—0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs—0
Backdoor Attacks on Discrete Graph Diffusion Models—0
BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation—0
Beyond LLMs: A Linguistic Approach to Causal Graph Generation from Narrative Texts—0
Beyond Pairwise: Global Zero-shot Temporal Graph Generation—0
Beyond Visual Appearances: Privacy-sensitive Objects Identification via Hybrid Graph Reasoning—0
BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation—0
VidCoM: Fast Video Comprehension through Large Language Models with Multimodal Tools—0
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments—0
Bures-Wasserstein Flow Matching for Graph Generation—0
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation—0
CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery—0
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation—0
CGGM: A conditional graph generation model with adaptive sparsity for node anomaly detection in IoT networks—0
Characterizing Malicious Edges targeting on Graph Neural Networks—0
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning—0
Clustering based opcode graph generation for malware variant detection—0
Collect and Connect Data Leaves to Feature Concepts: Interactive Graph Generation Toward Well-being—0
Cometh: A continuous-time discrete-state graph diffusion model—0
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions—0
Community Detection Graph Convolutional Network for Overlap-Aware Speaker Diarization—0
Computing Steiner Trees using Graph Neural Networks—0
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation—0
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Benchmark Results

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