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 351–400 of 712 papers

TitleStatusHype
Set-Aligning Framework for Auto-Regressive Event Temporal Graph GenerationCode0
SteinGen: Generating Fidelitous and Diverse Graph SamplesCode0
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization—0
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement—0
DSGG: Dense Relation Transformer for an End-to-end Scene Graph GenerationCode0
Exploring the Potential of Large Language Models in Graph Generation—0
Graphs Unveiled: Graph Neural Networks and Graph Generation—0
Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation—0
Mapping High-level Semantic Regions in Indoor Environments without Object Recognition—0
GraphRCG: Self-Conditioned Graph Generation—0
Graph Generation via Spectral Diffusion—0
CGGM: A conditional graph generation model with adaptive sparsity for node anomaly detection in IoT networks—0
S^2Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in ORCode0
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering—0
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning—0
FairWire: Fair Graph Generation—0
Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes—0
Overcoming Order in Autoregressive Graph Generation—0
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning—0
Is 3-(F)WL Enough to Distinguish All 3D Graphs?—0
TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation—0
Interpreting Equivariant Representations—0
Dynamic Relation Transformer for Contextual Text Block Detection—0
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision—0
Joint Generative Modeling of Scene Graphs and Images via Diffusion Models—0
Contextual Associated Triplet Queries for Panoptic Scene Graph Generation—0
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning—0
ALF: Adaptive Label Finetuning for Scene Graph Generation—0
Replica Tree-based Federated Learning using Limited DataCode0
TSPP: A Unified Benchmarking Tool for Time-series ForecastingCode0
Swap-based Deep Reinforcement Learning for Facility Location Problems in Networks—0
Indoor and Outdoor 3D Scene Graph Generation via Language-Enabled Spatial Ontologies—0
Collect and Connect Data Leaves to Feature Concepts: Interactive Graph Generation Toward Well-being—0
GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific NarrativesCode0
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding—0
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos—0
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation—0
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study—0
Two Stream Scene Understanding on Graph Embedding—0
Identification of vortex in unstructured mesh with graph neural networks—0
Generative Explanations for Graph Neural Network: Methods and Evaluations—0
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search—0
Towards a Unified Transformer-based Framework for Scene Graph Generation and Human-object Interaction Detection—0
Semantic Scene Graph Generation Based on an Edge Dual Scene Graph and Message Passing Neural Network—0
Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements—0
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning—0
SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL TranslationCode0
FloCoDe: Unbiased Dynamic Scene Graph Generation with Temporal Consistency and Correlation Debiasing—0
EDGE++: Improved Training and Sampling of EDGE—0
VidCoM: Fast Video Comprehension through Large Language Models with Multimodal Tools—0
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Benchmark Results

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