Skip to content
View ki-ljl's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report ki-ljl

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ki-ljl/README.md

Hi there 👋

  • 🔭 I have graduated from North China Electric Power University.

  • 🔭 I’m currently working on Tianjin University.

  • 🌱 My undergraduate research focused on electric load forecasting and federated learning. My current research is Graph Machine Learning.

  • 📫 How to reach me: lijunliang@tju.edu.cn.

Recent Publications

  • J. Li, Y. Yang, Q. Hu, X. Wang, and H. Gao, Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion (NeurIPS 2023)
  • J. Li, Y. Yang, Q. Hu, X. Wang, and H. Gao, Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks (ICDM 2023)
  • J. Li, Y. Yang, Q. Hu, X. Wang, and H. Gao, Hierarchical Label Inference in Dynamic Attributed Networks via Label Semantics (Under Peer Review (TKDE 2024))
  • J. Li, R. Jiao, S. Wang, and H. He, An Ensemble Load Forecasting Model Based on Online Error Updating (Proceedings of the CSEE)
  • R. Jiao, J. Chu, J. Li, and W. Zhang, Personalized Federated Multi-region Load Forecasting Method Based on Data Decomposition (Proceedings of the CSEE)

Pinned Loading

  1. pyg-team/pytorch_geometric pyg-team/pytorch_geometric Public

    Graph Neural Network Library for PyTorch

    Python 21.4k 3.7k

  2. GNNs-for-Node-Classification GNNs-for-Node-Classification Public

    Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Graph Attention Network), which will continue to be updated in t…

    Python 127 23

  3. GNNs-for-Link-Prediction GNNs-for-Link-Prediction Public

    Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will continue to be updated in the future.

    Python 49 2

  4. FedProx-PyTorch FedProx-PyTorch Public

    PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).

    Python 99 19

  5. Scaffold-Federated-Learning Scaffold-Federated-Learning Public

    PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).

    Python 65 8

  6. FedPer FedPer Public

    PyTorch implementation of FedPer (Federated Learning with Personalization Layers).

    Python 65 5