research
∙
08/03/2023
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning
Textual graphs (TGs) are graphs whose nodes correspond to text (sentence...
share
research
∙
11/18/2022
Contrastive Knowledge Graph Error Detection
Knowledge Graph (KG) errors introduce non-negligible noise, severely aff...
research
∙
10/14/2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
Large-scale graph training is a notoriously challenging problem for grap...
research
∙
08/24/2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
Training deep graph neural networks (GNNs) is notoriously hard. Besides ...
research
∙
11/20/2019
Transfer Learning Toolkit: Primers and Benchmarks
The transfer learning toolkit wraps the codes of 17 transfer learning mo...
research
∙
11/07/2019
