Python toolkit for building graph-enhanced GenAI applications

LC-PLM: long-context protein language model based on BiMamba-S architecture

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning

A collection of AWESOME things about Graph-Related LLMs.

Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization

Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"

A quick guide (especially) for trending instruction finetuning datasets

A curated reading list of research in Mixture-of-Experts(MoE).

AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection

Awesome Papers About Performing Prompting On Graphs

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

[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

[AAAI 2022] TempoQR: Temporal Question Reasoning over Knowledge Graphs

[ECML-PKDD 2023] Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs

[PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning

[EMNLP Findings 2022] ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs

Python package built to ease deep learning on graph, on top of existing DL frameworks.

[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models

You can find the most recent KGQA benchmark numbers from publications here.

A comprehensive collection of recent papers on graph deep learning

Crawl & visualize ICLR papers and reviews.

Papers on Graph neural network(GNN)

A curated list for awesome self-supervised learning for graphs.

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Reading list for the Advanced Machine Learning Course

links to conference publications in graph-based deep learning