hoadm-net

ReFinED

ReFinED is an efficient and accurate entity linking (EL) system.

kaping_prompt_zero-shot

This contains script that reimplements KAPING framework (Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering, Baek et al. 2023)

attrs

Python Classes Without Boilerplate

autogen

A programming framework for agentic AI 🤖

LLM-Agent-Paper-List

The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

xquad

Rce-KGQA

A novel pipeline framework for multi-hop complex KGQA task. It aims at Improving Multi-hop Embedded Knowledge Graph Question Answering by Introducing Relational Chain Reasoning

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

LLaMA-Factory

Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

ChatRule

Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning with 1 dollar.

tkg

Repository for paper "Data-driven Modelization and Knowledge Graph Generation within the Tourism Domain"

Representation-Learning-on-Heterogeneous-Graph

Representation-Learning-on-Heterogeneous-Graph

Graph-Transformer

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

GraphNeuralNetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

OpenHGNN

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

HGATRD

IJCAI2019_HGAT

Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 19

dialog-HGAT

Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

Graph-Neural-Networks-With-Heterophily

This repository contains the resources on graph neural network (GNN) considering heterophily.

pyHGT

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

CogDL

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

GraphSAINT

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

HGAT

Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)

HAN

Heterogeneous Graph Neural Network

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

PhoNLP

PhoNLP: A BERT-based multi-task learning model for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)

how_attentive_are_gats

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

jPTDP

Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

VnCoreNLP

A Vietnamese natural language processing toolkit (NAACL 2018)