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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 161–170 of 712 papers

Title	Date	Tasks	Status	Hype
Multiresolution Equivariant Graph Variational Autoencoder	Jun 2, 2021	Graph GenerationImage Generation	CodeCode Available	1
Linguistic Structures as Weak Supervision for Visual Scene Graph Generation	May 28, 2021	Graph GenerationScene Graph Generation	CodeCode Available	1
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning	Apr 15, 2021	Graph GenerationMultiple-choice	CodeCode Available	1
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation	Apr 1, 2021	Graph GenerationGraph Neural Network	CodeCode Available	1
Fully Convolutional Scene Graph Generation	Mar 30, 2021	Graph GenerationScene Graph Generation	CodeCode Available	1
Visual Distant Supervision for Scene Graph Generation	Mar 29, 2021	Graph GenerationPredicate Classification	CodeCode Available	1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis	Mar 9, 2021	3d scene graph generationgraph construction	CodeCode Available	1
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation	Mar 9, 2021	Graph GenerationScene Graph Generation	CodeCode Available	1
Energy-Based Learning for Scene Graph Generation	Mar 3, 2021	Graph GenerationInductive Bias	CodeCode Available	1
Accurate Learning of Graph Representations with Graph Multiset Pooling	Feb 23, 2021	Graph ClassificationGraph Clustering	CodeCode Available	1

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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