[WWW2024] The official code for paper "Distributionally Robust Graph-based Recommendation System"

浙江大学图灵班课程学习指南

A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neuroc…

This is the source code of CPDG (A contrastive pre-training method for dynamic graph neural networks).

[ICLR 2023 Oral] Towards Open Temporal Graph Neural Networks

Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks

Your browser's reference manager: automatic paper detection (Arxiv, OpenReview & more), publication venue matching and code repository discovery! Also enhances ArXiv: BibTex citation, Markdown link…

结巴中文分词

Streaming Graph Neural Networks via Continual Learning (CIKM 2020)

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

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

A Library for Dynamic Graph Learning (NeurIPS 2023)

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

本人的科研经验

Dynamic Graph Benchmark

StellarGraph - Machine Learning on Graphs

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

[NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"

code for "Self-supervised representation learning on dynamic graphs"