node-classification topic
PDN
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
resolutions-2019
A list of data mining and machine learning papers that I implemented in 2019.
Caps2NE
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
QGNN
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
Walk-Transformer
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
DIFFormer
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
NodeFormer
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
GRAD
[ECML-PKDD 2023] Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
GraphMaker
code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
CM-GCL
Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”