GentleZhu

Awesome-Scientific-Language-Models

A Curated List of Language Models in Scientific Domains

gritlm

Generative Representational Instruction Tuning

Graph-CoT

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

LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Awesome-Efficient-LLM

A curated list for Efficient Large Language Models

Awesome-Language-Model-on-Graphs

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

llama_index

LlamaIndex is a data framework for your LLM applications

Patton

Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)

web-llm

High-performance In-browser LLM Inference Engine

LLaMA-Adapter

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

Instruction-Tuning-Papers

Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).

MAPLE

The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study (WWW'23)

TMD

NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks

EGI

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')

NWR-GAE

awesome-deep-gnn

Papers about developing deep Graph Neural Networks (GNNs)

MATCH

MATCH: Metadata-Aware Text Classification in A Large Hierarchy (WWW'21)

MetaCat

Minimally Supervised Categorization of Text with Metadata (SIGIR'20)

CG-MuAlign

Collective Multi-type Entity Alignment Between Knowledge Graphs (WWW'20)

benchmarking-gnns

Repository for benchmarking graph neural networks

CompGCN

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

TaxoExpan

The source code used for self-supervised taxonomy expansion method TaxoExpan, published in WWW 2020

vae-clustering

Unsupervised clustering with (Gaussian mixture) VAEs

xla

Enabling PyTorch on XLA Devices (e.g. Google TPU)

DGI

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Location-Inference

RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation (CIKM'17)

RAdam

On the Variance of the Adaptive Learning Rate and Beyond

HiGitClass

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)

OAG

Source code and dataset for KDD 2019 paper "OAG: Toward Linking Large-scale Heterogeneous Entity Graphs"