Song and lyric data collected for Taylor Swift's 10 studio albums (up through Midnights)

Analyzed Taylor Swift Lyrics using NLP techniques; identified core topics, how the topics changed over time, and which topics generated the highest sales world wide.

[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

A Comprehensive Survey of Self-Supervised Learning for Recommendation

Using pretrained OFA captioning model to infer with some anime face images

Ranking, acceptance rate, deadline, and publication tips

A Japanese NLP Library using spaCy as framework based on Universal Dependencies

A Japanese tokenizer based on recurrent neural networks

A Cython MeCab wrapper for fast, pythonic Japanese tokenization and morphological analysis.

Yet another Japanese morphological analyzer

Modifying LAVIS' BLIP2 Q-former with models pretrained on Japanese datasets.

Models for social recommendation

r/Fakeddit New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

Library of community detection algorithms and visualization tools

Implements of community detection algorithms

Modeling and visualization of different types of data(Relational, spatial, graph, text and heterogeneous)

Visualization of popular algorithms using NetworkX Graph libray

M2GNN

LightGT: A Light Graph Transformer for Multimedia Recommendation, SIGIR2023

Python library for knowledge graph embedding and representation learning.

Personalized Hashtag Recommendation for Micro-videos, ACM MM2019

A tensorflow implementation of Knowledge Graph Convolutional Networks

Graph Neural Networks for Recommender Systems

Source codes for paper "MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation".