"OpenGraph: Towards Open Graph Foundation Models"

accelerate the inference of codellama

Insightful Tutorials and Papers about Knowledge Graphs

A Standard and Fair Time Series Forecasting Benchmark and Toolkit.

[ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".

Awesome papers about unifying LLMs and KGs

This is a repository of knowledge graphs survey paper that will be updated periodically.

Deep fusion clustering method for single-cell RNA-seq data

Collection of papers and resources on Reasoning in Large Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and others.

PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

Materials for AACL-IJCNLP-2022 tutorial: Efficient and Robust Knowledge Graph Construction

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

A curated list for awesome incomplete graph representation learning resources.

Source code for "KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion"

Some papers on Knowledge Graph Embedding(KGE)

WuDaoMM this is a data project

"Inductive Entity Representations from Text via Link Prediction" @ The Web Conference 2021

Sperm detection and tracking methods from this paper: https://arxiv.org/abs/2002.04034

Must-read papers on knowledge graph reasoning