SOTAVerified|Agents Browse Leaderboard About

Graph Generation

Graph Generation is an important research area with significant applications in drug and material designs.

Source: Graph Deconvolutional Generation

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 281–290 of 712 papers

Title	Date	Tasks	Status	Hype	Score
LTLBench: Towards Benchmarks for Evaluating Temporal Logic Reasoning in Large Language Models	Jul 7, 2024	Graph Generation	CodeCode Available	0	5
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement	Jun 9, 2020	DisentanglementGraph Generation	CodeCode Available	0	5
Input Conditioned Graph Generation for Language Agents	Jun 17, 2024	Graph GenerationMMLU	CodeCode Available	0	5
Improving Graph Generation by Restricting Graph Bandwidth	Jan 25, 2023	Graph Generation	CodeCode Available	0	5
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion Model	Aug 19, 2024	Computational chemistryDenoising	CodeCode Available	0	5
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation	Jul 18, 2021	Graph Generation	CodeCode Available	0	5
Disentangled Dynamic Graph Deep Generation	Oct 14, 2020	Graph GenerationProtein Folding	CodeCode Available	0	5
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs	Jun 21, 2022	Anomaly DetectionBenchmarking	CodeCode Available	0	5
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation	Dec 11, 2024	BenchmarkingFederated Learning	CodeCode Available	0	5
A Diffusion Model for Event Skeleton Generation	May 27, 2023	DenoisingGraph Generation	CodeCode Available	0	5

Show:10 25 50

← PrevPage 29 of 72Next →

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	RNN	StreetMover	0.03	—	Unverified
2	GraphRNN	StreetMover	0.02	—	Unverified
3	GGT without CA	StreetMover	0.02	—	Unverified
4	GGT	StreetMover	0.02	—	Unverified