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 451–500 of 712 papers

TitleStatusHype
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding—0
HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing—0
HOIverse: A Synthetic Scene Graph Dataset With Human Object Interactions—0
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation—0
Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation—0
Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation—0
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation—0
Hyper-relationship Learning Network for Scene Graph Generation—0
ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction—0
Identification of vortex in unstructured mesh with graph neural networks—0
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks—0
Image Scene Graph Generation (SGG) Benchmark—0
Importance Weighted Structure Learning for Scene Graph Generation—0
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens—0
Improving Molecular Graph Generation with Flow Matching and Optimal Transport—0
Improving Query Graph Generation for Complex Question Answering over Knowledge Base—0
Improving Scene Graph Generation with Superpixel-Based Interaction Learning—0
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement—0
Indoor and Outdoor 3D Scene Graph Generation via Language-Enabled Spatial Ontologies—0
Inductive Spatio-Temporal Kriging with Physics-Guided Increment Training Strategy for Air Quality Inference—0
Influence Maximization (IM) in Complex Networks with Limited Visibility Using Statistical Methods—0
Informative Scene Graph Generation via Debiasing—0
In-game Residential Home Planning via Visual Context-aware Global Relation Learning—0
Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows—0
Instant Policy: In-Context Imitation Learning via Graph Diffusion—0
Interpretable End-to-End Driving Model for Implicit Scene Understanding—0
Interpretable Molecular Graph Generation via Monotonic Constraints—0
Interpreting Equivariant Representations—0
Is 3-(F)WL Enough to Distinguish All 3D Graphs?—0
IS-GGT: Iterative Scene Graph Generation With Generative Transformers—0
Peer Learning for Unbiased Scene Graph Generation—0
Perspectives on neural proof nets—0
Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation—0
PPDL: Predicate Probability Distribution Based Loss for Unbiased Scene Graph Generation—0
Predicate Classification Using Optimal Transport Loss in Scene Graph Generation—0
Predicate correlation learning for scene graph generation—0
Pre-processing of Domain Ontology Graph Generation System in Punjabi—0
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation—0
Privacy-preserving Graph Analytics: Secure Generation and Federated Learning—0
Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance—0
Python Random Graph Generator—0
Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases—0
R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution—0
Random Walk Diffusion for Efficient Large-Scale Graph Generation—0
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation—0
Realistic molecule optimization on a learned graph manifold—0
ReCon1M:A Large-scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery—0
Reinforcement Learning Enhanced Explainer for Graph Neural Networks—0
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation—0
Relation-R1: Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relational Comprehension—0
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Benchmark Results

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