The official implementation of LG-FGAD: An Effective Federated Graph Anomaly Detection Framework.

[ICML 2025] EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification

SEFGL: Towards Heterogeneous Federated Graph Learning via Structural Entropy and Prototype Aggregation

FedGVD: Efficient Federated Graph Learning via Unidirectional Distillation with Dynamic Virtual Nodes

[CIKM'25] Rethinking Client-oriented Federated Graph Learning : We firstly proposed FedC4 (Federated Graph Learning with Graph Condensation and Client-Client Collaboration) framework

Official PyTorch implementation for the paper FedDCL: Federated Diffusion-enhanced Contrastive Learning for Graph Anomaly Detection.

Resource collection of medical agent for clinical dialogue and health

A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

This is the official code release of the following paper: Hao Dong et al., Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning.

ACM MM 2023: Self-contrastive graph diffusion network

Implementation of ECMGD in our paper: Towards Multi-view Consistent Graph Diffusion, ACM MM 2024.

[ICML 2024] Graph Adversarial Diffusion Convolution

Directional diffusion models

The code for "Deep Contrastive Graph Learning with Clustering-Oriented Guidance" (AAAI24).

Official Implementation of Reliable Node Similarity Matrix Guided Contrastive Graph Clustering (TKDE 2024).

TNNLS "Variational Graph Generator for Multi-View Graph Clustering".

The code of LogCL

Hyperbolic Structural Entropy for Graph Clustering

Paper Code

Temporal Knowledge Graph Reasoning with Historical Contrastive Learning

TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning

[NLPCC 2024] Effective Knowledge Graph Embedding with Quaternion Convolutional Networks

CDRGN-SDE: Cross-Dimensional Recurrent Graph Network with Neural Stochastic Differential Equation for Temporal Knowledge Graph Embedding

RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding

Code of TiRGN

[WWW 2023] The source code of "Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning"