Code for hyperboloid embeddings for knowledge graph entities

Overview

Implementation for the papers:

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs, Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian and Chandan Reddy, WWW 2021.

Code directory: hype_kg/codes/

ANTHEM: Attentive Hyperbolic Entity Model for Product Search, Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian and Chandan Reddy, WSDM 2022.

Code directory: product_matching/

Please refer these works if you find the code useful:

@inproceedings{10.1145/3442381.3449974,
author = {Choudhary, Nurendra and Rao, Nikhil and Katariya, Sumeet and Subbian, Karthik and Reddy, Chandan K.},
title = {Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs},
year = {2021},
isbn = {9781450383127},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3442381.3449974},
doi = {10.1145/3442381.3449974},
booktitle = {Proceedings of the Web Conference 2021},
pages = {1373–1384},
numpages = {12},
keywords = {knowledge graphs, hyperbolic space, Representation learning, reasoning queries},
location = {Ljubljana, Slovenia},
series = {WWW '21}
}
@inproceedings{choudhary2022anthem,
author = {Choudhary, Nurendra and Rao, Nikhil and Katariya, Sumeet and Subbian, Karthik and Reddy, Chandan K.},
title = {ANTHEM: Attentive Hyperbolic Entity Model for Product Search},
year = {2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
booktitle = {{WSDM} '22: The Fifteenth {ACM} International Conference on Web Search
               and Data Mining, Phoenix, AZ, USA, February 21-25, 2022},
location = {Phoenix, AZ, USA},
series = {WSDM '22}
}
Anuvada: Interpretable Models for NLP using PyTorch

Anuvada: Interpretable Models for NLP using PyTorch So, you want to know why your classifier arrived at a particular decision or why your flashy new d

EDGE 102 Oct 01, 2022
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

A Deep Learning NLP/NLU library by Intel® AI Lab Overview | Models | Installation | Examples | Documentation | Tutorials | Contributing NLP Architect

Intel Labs 2.9k Jan 02, 2023
Arabic speech recognition, classification and text-to-speech.

klaam Arabic speech recognition, classification and text-to-speech using many advanced models like wave2vec and fastspeech2. This repository allows tr

ARBML 177 Dec 27, 2022
apple's universal binaries BUT MUCH WORSE (PRACTICAL SHITPOST) (NOT PRODUCTION READY)

hyperuniversality investment opportunity: what if we could run multiple architectures in a single file, again apple universal binaries, but worse how

luna 2 Oct 19, 2021
Sentiment-Analysis and EDA on the IMDB Movie Review Dataset

Sentiment-Analysis and EDA on the IMDB Movie Review Dataset The main part of the work focuses on the exploration and study of different approaches whi

Nikolas Petrou 1 Jan 12, 2022
Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch

COCO LM Pretraining (wip) Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch. They were a

Phil Wang 44 Jul 28, 2022
Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks

TestRank in Pytorch Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks by Yu Li, Min Li, Qiuxia Lai, Ya

3 May 19, 2022
HAN2HAN : Hangul Font Generation

HAN2HAN : Hangul Font Generation

Changwoo Lee 36 Dec 28, 2022
Understand Text Summarization and create your own summarizer in python

Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. Technologies that can make a coherent

Sreekanth M 1 Oct 18, 2022
Korea Spell Checker

한국어 문서 koSpellPy Korean Spell checker How to use Install pip install kospellpy Use from kospellpy import spell_init spell_checker = spell_init() # d

kangsukmin 2 Oct 20, 2021
SimBERT升级版(SimBERTv2)!

RoFormer-Sim RoFormer-Sim,又称SimBERTv2,是我们之前发布的SimBERT模型的升级版。 介绍 https://kexue.fm/archives/8454 训练 tensorflow 1.14 + keras 2.3.1 + bert4keras 0.10.6 下载

317 Dec 23, 2022
Samantha, A covid-19 information bot which will provide basic information about this pandemic in form of conversation.

Covid-19-BOT Samantha, A covid-19 information bot which will provide basic information about this pandemic in form of conversation. This bot uses torc

Neeraj Majhi 2 Nov 05, 2021
Search for documents in a domain through Google. The objective is to extract metadata

MetaFinder - Metadata search through Google _____ __ ___________ .__ .___ / \

Josué Encinar 85 Dec 16, 2022
Speech Recognition for Uyghur using Speech transformer

Speech Recognition for Uyghur using Speech transformer Training: this model using CTC loss and Cross Entropy loss for training. Download pretrained mo

Uyghur 11 Nov 17, 2022
Code for Emergent Translation in Multi-Agent Communication

Emergent Translation in Multi-Agent Communication PyTorch implementation of the models described in the paper Emergent Translation in Multi-Agent Comm

Facebook Research 75 Jul 15, 2022
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Phil Wang 5k Jan 02, 2023
Code for paper: An Effective, Robust and Fairness-awareHate Speech Detection Framework

BiQQLSTM_HS Code and data for paper: Title: An Effective, Robust and Fairness-awareHate Speech Detection Framework. Authors: Guanyi Mou and Kyumin Lee

Guanyi Mou 2 Dec 27, 2022
The proliferation of disinformation across social media has led the application of deep learning techniques to detect fake news.

Fake News Detection Overview The proliferation of disinformation across social media has led the application of deep learning techniques to detect fak

Kushal Shingote 1 Feb 08, 2022
Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)

Linear Multihead Attention (Linformer) PyTorch Implementation of reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer:

Kui Xu 58 Dec 23, 2022
Stuff related to Ben Eater's 8bit breadboard computer

8bit breadboard computer simulator This is an assembler + simulator/emulator of Ben Eater's 8bit breadboard computer. For a version with its RAM upgra

Marijn van Vliet 29 Dec 29, 2022