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
From Graph Generation to Graph Classification—0
Gransformer: Transformer-based Graph Generation—0
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs—0
Graph Autoencoders with Deconvolutional Networks—0
From Easy to Hard: Learning Curricular Shape-aware Features for Robust Panoptic Scene Graph Generation—0
Counterfactual Thinking for Long-tailed Information Extraction—0
Assisting Scene Graph Generation with Self-Supervision—0
From Data to Modeling: Fully Open-vocabulary Scene Graph Generation—0
FreeQ-Graph: Free-form Querying with Semantic Consistent Scene Graph for 3D Scene Understanding—0
FloCoDe: Unbiased Dynamic Scene Graph Generation with Temporal Consistency and Correlation Debiasing—0
FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching—0
CoPa-SG: Dense Scene Graphs with Parametric and Proto-Relations—0
A Simple Baseline for Weakly-Supervised Scene Graph Generation—0
Indoor and Outdoor 3D Scene Graph Generation via Language-Enabled Spatial Ontologies—0
Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements—0
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning—0
Focused Discriminative Training For Streaming CTC-Trained Automatic Speech Recognition Models—0
FLOWGEN: Fast and slow graph generation—0
Continuous Graph Flow—0
Flatten Graphs as Sequences: Transformers are Scalable Graph Generators—0
Contextual Associated Triplet Queries for Panoptic Scene Graph Generation—0
ALF: Adaptive Label Finetuning for Scene Graph Generation—0
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing—0
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement—0
Inductive Spatio-Temporal Kriging with Physics-Guided Increment Training Strategy for Air Quality Inference—0
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens—0
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search—0
Constrained Structure Learning for Scene Graph Generation—0
A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition—0
Improving Molecular Graph Generation with Flow Matching and Optimal Transport—0
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems—0
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation—0
FairWire: Fair Graph Generation—0
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation—0
Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge—0
Improving Query Graph Generation for Complex Question Answering over Knowledge Base—0
Fairness Amidst Non-IID Graph Data: A Literature Review—0
FairGen: Towards Fair Graph Generation—0
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization—0
Computing Steiner Trees using Graph Neural Networks—0
Community Detection Graph Convolutional Network for Overlap-Aware Speaker Diarization—0
Target-Tailored Source-Transformation for Scene Graph Generation—0
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation—0
Importance Weighted Structure Learning for Scene Graph Generation—0
Improving Scene Graph Generation with Superpixel-Based Interaction Learning—0
Influence Maximization (IM) in Complex Networks with Limited Visibility Using Statistical Methods—0
Interpretable Molecular Graph Generation via Monotonic Constraints—0
Exploring the Potential of Large Language Models in Graph Generation—0
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions—0
Exploring the Hierarchy in Relation Labels for Scene Graph Generation—0
Show:102550
← PrevPage 6 of 15Next →

Benchmark Results

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