AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

This is the code for paper Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs.（Coling2025））

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)

[WSDM 2022] EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

[WSDM 2022] EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

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

Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)

LinkGPT: Teaching Large Language Models To Predict Missing Links

An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.

Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection

架构设计相关知识

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

[NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".

Awesome Literature Graph Learning Challenges

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)

A collection of AWESOME things about Graph-Related LLMs.

An official source code for paper "Dual-level Noise Augmentation for Graph Clustering with Triplet-wise Contrastive Learning".

Simple and performant implementations of learner performance prediction algorithms.

Reading list for research topics in multimodal machine learning

Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'

The simple source code demo for one under-review paper.

A Survey of Learning from Graphs with Heterophily

Code for KDD2024 paper “Latent Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model”

[IEEE TCSS] Extracting Higher Order Topological Semantic via Motif-Based Deep Graph Neural Networks