NExT

TAT-QA

TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.

NeuRec

NeuRec is a comprehensive and flexible Python library for recommendation models that includes a large range of state-of-the-art neural recommender models.

L2I

The baseline method for CCIR 22 https://www.datafountain.cn/competitions/573

TAT-DQA

TAT-DQA: Towards Complex Document Understanding By Discrete Reasoning

VidVRD-helper

Video Relation Understanding (VRU) grand challenge toolbox

TAT-HQA

TAT-HQA

TCR

TCR is a PyTorch implementation of the Topic-Guided Conversational Recommender which is designed for the multi-domain conversational recommendation setting.

PACIFIC

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance

4EBaseMetal

adversarial_personalized_ranking

Adversarial Learning, Matrix Factorization, Recommendation

AdvRec

AdvRec implements several algorithms for use in personalized recommendation.

FashionKE

FashionKE is an effective implementation of an automatic harvesting model for fashion concept prediction and a comprehensive analysis tool for fashion knowledge extraction.

Fitgram_ios

joint-kg-recommender

This repository contains an implementation of a new translation-based recommendation model, which considers multiple preference criteria in recommendation and the incomplete nature of KG in practice.

.github

ASNE

ASNE is a tensorflow implementation of Attributed Social Network Embedding framework, which learns representations for social actors by preserving both the structural and attribute proximity.

attentional_factorization_machine

TensorFlow Implementation of Attentional Factorization Machine

kgpolicy

KGpolicy is a Pytorch implementation of a new negative sampling framework tailored to knowledge-aware personalized recommendation, which is able to discover high-quality items as negative training instances, thus providing better recommendation.

Knowledge_Graph_based_Intent_Network

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

Low-Resource-Name-Tagging

This repository contains a novel neural model for name tagging which is solely based on weakly labelled data, making it applicable to any low-resource setting.

MMConv

Official repository for "MMConv: An Environment for Multimodal Conversational Search across Multiple Domains"

MuGNN

MuGNN is the implementation of a novel model to learn alignment-oriented knowledge graph (KG) embeddings by robustly encoding two KGs via multiple channels.

neural_collaborative_filtering

Neural Collaborative Filtering

neural_factorization_machine

TenforFlow Implementation of Neural Factorization Machine

object-trajectory-proposal

This repository is an effective implementation of a novel method for labelling each object candidates in videos by generating temporally consistent proposals in the form of object trajectories, which outperforms current state-of-the-art methods.

tree_enhanced_embedding_model

TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018