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 426–450 of 712 papers

TitleStatusHype
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