Supplementary materials and codes for the paper "Causal Structure Learning Supervised by Large Language Model"

Adversarial Counterfactual Temporal Inference Network

因果强化学习（迷宫环境）

Causal Transfer Learning

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

Accepted as reproducibility paper at RecSys 2023.

论文里可以用到的实验图示例

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.

A project for collecting and showing the current research progress of FedRec

MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)

Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models"

Generative Recommendation: Towards Next-generation Recommender Paradigm

A TensorFlow-based spoken language identification

Heterogeneous Information Network Datasets for Recommendation and Network Embedding

Code for my TKDE-2018, MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation

An implementation of Performer, a linear attention-based transformer, in Pytorch

A unified, comprehensive and efficient recommendation library

Codes for our SIGIR'20 paper "BiANE: Bipartite Attributed Network Embedding".

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

Code for NIPS 2018 paper 'Frequency-Agnostic Word Representation'

Code and Dataset intruction for our paper "Where Could We Go? Recommendations for Groups in Location-Based Social Networks" presented at the ACM WebSci'17