Stars
[ICML 2025] Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization
[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personali…
SysBench: Can Large Language Models Follow System Messages?
Utilities intended for use with Llama models.
Doing simple retrieval from LLM models at various context lengths to measure accuracy
Graph Neural Network Library for PyTorch
A modular graph-based Retrieval-Augmented Generation (RAG) system
Official Implementation of NeurIPS 2024 paper "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering""
Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning"
A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
[ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
hamed1375 / Exphormer
Forked from rampasek/GraphGPSExphormer: Sparse Transformer for Graphs
Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
A versatile generative model capable of designing topologies for wide range of analog circuits.
Graphormer is a general-purpose deep learning backbone for molecular modeling.
Fully open reproduction of DeepSeek-R1
Awesome-LLM: a curated list of Large Language Model
Train transformer language models with reinforcement learning.
Benchmarking LLMs via Uncertainty Quantification
A Survey on Data Selection for Language Models
Collection of Summer 2025 tech internships!
The official implementation of `A benchmark for Directed Graph Representation Learning in Hardware Designs'