MolGAN: An implicit generative model for small molecular graphs | Paper Citation Record

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Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking cites this paper.

Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking MolGAN: An implicit generative model for small molecular graphs

Reference 21

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Spectral-based Graph Convolutional Network for Directed Graphs cites this paper.

Spectral-based Graph Convolutional Network for Directed Graphs MolGAN: An implicit generative model for small molecular graphs

Reference 6

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DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning cites this paper.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning MolGAN: An implicit generative model for small molecular graphs

Reference 23

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TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning cites this paper.

TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning MolGAN: An implicit generative model for small molecular graphs

Reference 8

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SmileyLlama: Modifying Large Language Models for Directed Chemical Space Exploration cites this paper.

SmileyLlama: Modifying Large Language Models for Directed Chemical Space Exploration MolGAN: An implicit generative model for small molecular graphs

Reference 4

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Quantum-inspired Reinforcement Learning for Synthesizable Drug Design cites this paper.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design MolGAN: An implicit generative model for small molecular graphs

Reference 7

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Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence cites this paper.

Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence MolGAN: An implicit generative model for small molecular graphs

Reference 8

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ArtFormer: Controllable Generation of Diverse 3D Articulated Objects cites this paper.

ArtFormer: Controllable Generation of Diverse 3D Articulated Objects MolGAN: An implicit generative model for small molecular graphs

Reference 6

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De Novo Generation of Hit-like Molecules from Gene Expression Profiles via Deep Learning cites this paper.

De Novo Generation of Hit-like Molecules from Gene Expression Profiles via Deep Learning MolGAN: An implicit generative model for small molecular graphs

Reference 17

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Pharmacophore-guided de novo drug design with diffusion bridge cites this paper.

Pharmacophore-guided de novo drug design with diffusion bridge MolGAN: An implicit generative model for small molecular graphs

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Graph Generative Pre-trained Transformer cites this paper.

Graph Generative Pre-trained Transformer MolGAN: An implicit generative model for small molecular graphs

Reference 8

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Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs cites this paper.

Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs MolGAN: An implicit generative model for small molecular graphs

Reference 8

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Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL cites this paper.

Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL MolGAN: An implicit generative model for small molecular graphs

Reference 2

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Generative Risk Minimization for Out-of-Distribution Generalization on Graphs cites this paper.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs MolGAN: An implicit generative model for small molecular graphs

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Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs cites this paper.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs MolGAN: An implicit generative model for small molecular graphs

Reference 2021

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MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design cites this paper.

MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design MolGAN: An implicit generative model for small molecular graphs

Reference 13

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Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity cites this paper.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity MolGAN: An implicit generative model for small molecular graphs

Reference 6

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JTreeformer: Graph-Transformer via Latent-Diffusion Model for Molecular Generation cites this paper.

JTreeformer: Graph-Transformer via Latent-Diffusion Model for Molecular Generation MolGAN: An implicit generative model for small molecular graphs

Reference 3

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A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization cites this paper.

A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization MolGAN: An implicit generative model for small molecular graphs

Reference 2025

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A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules cites this paper.

A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules MolGAN: An implicit generative model for small molecular graphs

Reference 12

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Beyond Equilibrium: Non-Equilibrium Foundations Should Underpin Generative Processes in Complex Dynamical Systems cites this paper.

Beyond Equilibrium: Non-Equilibrium Foundations Should Underpin Generative Processes in Complex Dynamical Systems MolGAN: An implicit generative model for small molecular graphs

Reference 92

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MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning cites this paper.

MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning MolGAN: An implicit generative model for small molecular graphs

Reference 7

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Bridging Quantum and Classical Computing in Drug Design: Architecture Principles for Improved Molecule Generation cites this paper.

Bridging Quantum and Classical Computing in Drug Design: Architecture Principles for Improved Molecule Generation MolGAN: An implicit generative model for small molecular graphs

Reference 10

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Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders cites this paper.

Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders MolGAN: An implicit generative model for small molecular graphs

Reference 2023

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No Data? No Problem: Synthesizing Security Graphs for Better Intrusion Detection cites this paper.

No Data? No Problem: Synthesizing Security Graphs for Better Intrusion Detection MolGAN: An implicit generative model for small molecular graphs

Reference 12

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Graph Neural Networks in Modern AI-aided Drug Discovery cites this paper.

Graph Neural Networks in Modern AI-aided Drug Discovery MolGAN: An implicit generative model for small molecular graphs

Reference 41

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Vector Representations of Vessel Trees cites this paper.

Vector Representations of Vessel Trees MolGAN: An implicit generative model for small molecular graphs

Reference 6

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AI4Research: A Survey of Artificial Intelligence for Scientific Research cites this paper.

AI4Research: A Survey of Artificial Intelligence for Scientific Research MolGAN: An implicit generative model for small molecular graphs

Reference 165

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Combining Graph Neural Networks and Mixed Integer Linear Programming for Molecular Inference under the Two-Layered Model cites this paper.

Combining Graph Neural Networks and Mixed Integer Linear Programming for Molecular Inference under the Two-Layered Model MolGAN: An implicit generative model for small molecular graphs

Reference 8

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Unraveling the Potential of Diffusion Models in Small Molecule Generation cites this paper.

Unraveling the Potential of Diffusion Models in Small Molecule Generation MolGAN: An implicit generative model for small molecular graphs

Reference 11

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NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation cites this paper.

NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation MolGAN: An implicit generative model for small molecular graphs

Reference 41

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MoDyGAN: Combining Molecular Dynamics With GANs to Investigate Protein Conformational Space cites this paper.

MoDyGAN: Combining Molecular Dynamics With GANs to Investigate Protein Conformational Space MolGAN: An implicit generative model for small molecular graphs

Reference 15

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Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems cites this paper.

Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems MolGAN: An implicit generative model for small molecular graphs

Reference 4

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NovoMolGen: Rethinking Molecular Language Model Pretraining cites this paper.

NovoMolGen: Rethinking Molecular Language Model Pretraining MolGAN: An implicit generative model for small molecular graphs

Reference 7

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Multi-Objective Bayesian Optimization with Independent Tanimoto Kernel Gaussian Processes for Diverse Pareto Front Exploration cites this paper.

Multi-Objective Bayesian Optimization with Independent Tanimoto Kernel Gaussian Processes for Diverse Pareto Front Exploration MolGAN: An implicit generative model for small molecular graphs

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Quantum latent distributions in deep generative models cites this paper.

Quantum latent distributions in deep generative models MolGAN: An implicit generative model for small molecular graphs

Reference 50

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Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI cites this paper.

Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI MolGAN: An implicit generative model for small molecular graphs

Reference 28

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QCA-MolGAN: Quantum Circuit Associative Molecular GAN with Multi-Agent Reinforcement Learning cites this paper.

QCA-MolGAN: Quantum Circuit Associative Molecular GAN with Multi-Agent Reinforcement Learning MolGAN: An implicit generative model for small molecular graphs

Reference 13

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GraphWeave: Interpretable and Robust Graph Generation via Random Walk Trajectories cites this paper.

GraphWeave: Interpretable and Robust Graph Generation via Random Walk Trajectories MolGAN: An implicit generative model for small molecular graphs

Reference 3

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Attributed Hypergraph Generation with Realistic Interplay Between Structure and Attributes cites this paper.

Attributed Hypergraph Generation with Realistic Interplay Between Structure and Attributes MolGAN: An implicit generative model for small molecular graphs

Reference 26

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BadGraph: A Backdoor Attack Against Latent Diffusion Model for Text-Guided Graph Generation cites this paper.

BadGraph: A Backdoor Attack Against Latent Diffusion Model for Text-Guided Graph Generation MolGAN: An implicit generative model for small molecular graphs

Reference 26

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Discrete Bayesian Sample Inference for Graph Generation cites this paper.

Discrete Bayesian Sample Inference for Graph Generation MolGAN: An implicit generative model for small molecular graphs

Reference 8

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NEAT: Neighborhood-Guided, Efficient, Autoregressive Set Transformer for 3D Molecular Generation cites this paper.

NEAT: Neighborhood-Guided, Efficient, Autoregressive Set Transformer for 3D Molecular Generation MolGAN: An implicit generative model for small molecular graphs

Reference 3

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Scalable Quantum Molecular Generation via GPU-Accelerated Tensor-Network Simulation cites this paper.

Scalable Quantum Molecular Generation via GPU-Accelerated Tensor-Network Simulation MolGAN: An implicit generative model for small molecular graphs

Reference 1

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How Creative Are Large Language Models in Generating Molecules? cites this paper.

How Creative Are Large Language Models in Generating Molecules? MolGAN: An implicit generative model for small molecular graphs

Reference 35

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Molecules Meet Language: Confound-Aware Representation Learning and Chemical Property Steering in Transformer-VAE Latent Spaces cites this paper.

Molecules Meet Language: Confound-Aware Representation Learning and Chemical Property Steering in Transformer-VAE Latent Spaces MolGAN: An implicit generative model for small molecular graphs

Reference 29

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Dependency-Aware Discrete Diffusion for Scene Graph Generation cites this paper.

Dependency-Aware Discrete Diffusion for Scene Graph Generation MolGAN: An implicit generative model for small molecular graphs

Reference 3

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Observation d86d3f01-0a8e-46bf-9684-d519c6a49d2e · inbound

sGPO: Trading Inference FLOPs for Training Efficiency in RLVR cites this paper.

sGPO: Trading Inference FLOPs for Training Efficiency in RLVR MolGAN: An implicit generative model for small molecular graphs

Reference 193

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Multigrid Training for Molecular Generation using Graph Neural Networks cites this paper.

Multigrid Training for Molecular Generation using Graph Neural Networks MolGAN: An implicit generative model for small molecular graphs

Reference 3

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Agentic generation of verifiable rules for deterministic, self-expanding reaction classification cites this paper.

Agentic generation of verifiable rules for deterministic, self-expanding reaction classification MolGAN: An implicit generative model for small molecular graphs

Reference 120

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Rank-Refined Quantum-Behaved Particle Swarm Optimization for Quantum Molecular Generation cites this paper.

Rank-Refined Quantum-Behaved Particle Swarm Optimization for Quantum Molecular Generation MolGAN: An implicit generative model for small molecular graphs

Reference 5

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Implementations of Quantum and Classical Topology-Aligned Architectures for Molecular Property Prediction cites this paper.

Implementations of Quantum and Classical Topology-Aligned Architectures for Molecular Property Prediction MolGAN: An implicit generative model for small molecular graphs

Reference 3

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