Graph Convolutional Networks (GCN) with BERT for Coreference Resolution ...
An implementation of "EdMot: An Edge Enhancement Approach for Motif-awar...
A short and easy PyTorch implementation of E(n) Equivariant Graph Neural...
A PyTorch implementation of "Graph Convolutional Networks for Text Clas...
Make GNN easy to start with
Doc2Graph transforms documents into graphs and exploit a GNN to solve se...
This is a PyTorch implementation of the GeniePath model in (https://arx...
人工智能论文关键点集结。This project aims to collect key points of AI pa...
Learning cell communication from spatial graphs of cells
Cell-type Annotation for Single-cell Transcriptomics using Deep Learning...
PyTorch-Based Fast and Efficient Processing for Various Machine Learning...
Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neur...
A Comprehensive Survey of Mamba in Deep Learning
Readings for "A Unified View of Relational Deep Learning for Drug Pair S...
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural...