Co-occurring keywords · papers mentioning both
Papers
MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction
IJCAI 2025
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction
IJCAI 2025
Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
AAAI 2025
RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction
AAAI 2025
Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck
AAAI 2025
Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning
ICLR 2025
$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
NeurIPS 2024
A probability contrastive learning framework for 3D molecular representation learning
NeurIPS 2024
A Recipe for Charge Density Prediction
NeurIPS 2024
A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation
IJCAI 2024
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
NeurIPS 2024
Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction
IJCAI 2024
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems
AAAI 2024
Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
NeurIPS 2024
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
ICLR 2024
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs
EMNLP 2024
Extracting Training Data from Molecular Pre-trained Models
NeurIPS 2024
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
ICLR 2024
HAGO-Net: Hierarchical Geometric Message Passing for Molecular Representation Learning
AAAI 2024
Hybrid Directional Graph Neural Network for Molecules
ICLR 2024
Improving Graph Networks Through Selection-Based Convolution
WACV 2024
Instructor-inspired Machine Learning for Robust Molecular Property Prediction
NeurIPS 2024
Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction
EMNLP 2024
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction
EMNLP 2024
On the Stability of Expressive Positional Encodings for Graphs
ICLR 2024