THUKEG&THUDM
THUKEG&THUDM
CogDL
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
P-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
GCC
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
KOBE
Towards Knowledge-Based Personalized Product Description Generation in E-commerce @ KDD 2019
KBRD
Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019
CogView
Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
P-tuning-v2
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
ComiRec
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
GRAND
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
GATNE
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"