Yu Le

MergeLM. Codebase for Merging Language Models (ICML 2024)

DyGLib. A Library for Dynamic Graph Learning (NeurIPS 2023)

DSTGCN. codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction

R-HGNN. codes of R-HGNN model for Heterogeneous Graph Representation Learning

DyGLib_TGB. An Empirical Evaluation of Temporal Graph Benchmark

MergeLLM. Codes for Merging Large Language Models

DNNTSP. codes of DNNTSP model for Temporal Sets Prediction

LEGNN. codes of LEGNN for Semi-supervised Node Classification

HGConv. codes of HGConv model for Heterogeneous Graph Learning

ETGNN. codes of Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction

SFCNTSP. codes of Predicting Temporal Sets with Simplified Fully Connected Networks at AAAI 2023

CTTSP. codes of Continuous-Time User Preference Modelling for Temporal Sets Prediction

Awesome-DynamicGraphLearning. Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

tgn. TGN: Temporal Graph Networks

BUAAThesis. 北航研究生学位论文模板（Word+LaTeX）.

yule-BUAA.github.io. Le Yu’s Homepage

langchain. ⚡ Building applications with LLMs through composability ⚡