Official implementation of the ACL 2024: Scientific Inspiration Machines Optimized for Novelty

"Deep Generative Modeling": Introductory Examples

Applies ROME and MEMIT on Mamba-S4 models

It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.

Must-read papers on graph neural networks (GNN)

here you can find the material used for our Tutorials

This repository includes code for the paper "Does Localization Inform Editing? Surprising Differences in Where Knowledge Is Stored vs. Can Be Injected in Language Models."

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

A foundation model for knowledge graph reasoning

Mass-editing thousands of facts into a transformer memory (ICLR 2023)

A Collection of BM25 Algorithms in Python

A framework for few-shot evaluation of language models.

An end-to-end neural ad-hoc ranking pipeline.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Implementation of ProteinBERT in Pytorch

EventEA: Benchmarking Entity Alignment for Event-centric Knowledge Graphs

Measuring the Evolution of a Scientific Field through Citation Frames

Scientific Document Summarization Corpus and Annotations from the WING NUS group.

A data set based on all arXiv publications, pre-processed for NLP, including structured full-text and citation network

Dataset, models, and code for paper "CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation", EMNLP 2022

Fast (Personalized) PageRank Implementation

📛 A Python package for using ontologies, terminologies, and biomedical nomenclatures

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

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