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 491–500 of 712 papers

TitleStatusHype
Python Random Graph Generator—0
Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases—0
R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution—0
Random Walk Diffusion for Efficient Large-Scale Graph Generation—0
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation—0
Realistic molecule optimization on a learned graph manifold—0
ReCon1M:A Large-scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery—0
Reinforcement Learning Enhanced Explainer for Graph Neural Networks—0
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation—0
Relation-R1: Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relational Comprehension—0
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Benchmark Results

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