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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 111–120 of 712 papers

Title	Date	Tasks	Status	Hype
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery	Dec 11, 2022	Graph Generation	CodeCode Available	1
Data Imputation with Iterative Graph Reconstruction	Dec 6, 2022	Data Imputation 70%Graph Generation	CodeCode Available	1
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation	Dec 4, 2022	Graph GenerationPosition	CodeCode Available	1
Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network	Dec 1, 2022	Graph GenerationRelation	CodeCode Available	1
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing	Nov 28, 2022	Activity RecognitionFew Shot Action Recognition	CodeCode Available	1
RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer	Nov 23, 2022	DecoderGraph Generation	CodeCode Available	1
Knowledge Graph Generation From Text	Nov 18, 2022	Graph GenerationJoint Entity and Relation Extraction	CodeCode Available	1
Fast Graph Generation via Spectral Diffusion	Nov 16, 2022	Graph Generation	CodeCode Available	1
Implicit Graphon Neural Representation	Nov 7, 2022	Graph GenerationGraph Representation Learning	CodeCode Available	1
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation	Nov 1, 2022	DecoderEmpathetic Response Generation	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