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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 21–30 of 712 papers

Title	Date	Tasks	Status	Hype	Score
Generative Diffusion Models on Graphs: Methods and Applications	Feb 6, 2023	DenoisingGraph Generation	CodeCode Available	2	5
Geometry-Complete Diffusion for 3D Molecule Generation and Optimization	Feb 8, 2023	3D Molecule GenerationDenoising	CodeCode Available	2	5
DeFoG: Discrete Flow Matching for Graph Generation	Oct 5, 2024	DenoisingGraph Generation	CodeCode Available	2	5
Open World Scene Graph Generation using Vision Language Models	Jun 9, 2025	Graph GenerationScene Graph Generation	CodeCode Available	2	5
RelationField: Relate Anything in Radiance Fields	Dec 18, 2024	3d scene graph generationGraph Generation	CodeCode Available	2	5
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training	Jun 8, 2020	Graph GenerationKnowledge Graphs	CodeCode Available	1	5
Autoregressive Diffusion Model for Graph Generation	Jul 17, 2023	DenoisingGraph Generation	CodeCode Available	1	5
A Simple and Scalable Representation for Graph Generation	Dec 4, 2023	Graph GenerationMolecular Graph Generation	CodeCode Available	1	5
AutoKG: Efficient Automated Knowledge Graph Generation for Language Models	Nov 22, 2023	Graph GenerationRetrieval	CodeCode Available	1	5
Context-Aware Scene Graph Generation With Seq2Seq Transformers	Jan 1, 2021	DecoderGraph Generation	CodeCode Available	1	5

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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