Seminar & News

TARNet: Task-Aware Reconstruction for Time-Series Transformer

GRPE: Relative Positional Encoding for Graph Transformer

Model Agnostic Sample Reweighting for OOD Learning

Heterogeneous Graph Network foundation

KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction

Chenical toxicity prediction based on semi-supervised learning and graph convolutional neural network

Stable learning between causal inference and machine learning

Universal Prompt Tuning for Graph Neural Networks

Knowledge graph-enhanced molecular contrastive learning with functional prompt

Graph Pooling via Coarsened Graph Infomax

Normalized Cuts and Image Segmentation

Paramterized Explainer for Graph Neural Network

An End-to-End Deep Learning Architecture for Graph Classification

GLAM : An adaptive graph learning method for automated molecular interactions and properties predictions

Point Cloud

Hierarchical Graph Representattion Learning with Differentiable Pooling

Causality Learning 

Representing Long-Range Context for Graph Nerual Networks with Global Attention

Graph Self-Supervised Learning

Spectral Graph Convolution

Learnable Dynamic Temporal Pooling for Time series Classification

Cancer subtype classification and modeling by pathway attention and propagation

3D Graph Contrastive learning for Molecular Property Prediction 

Transformer : Attention is All You Need 

Contrastive learning 

 Graph Neural Networks using Line Graph

MoleculeNet: A Benchmark for Molecular Machine Learning