Beast code in Giters

Chao Chen's repositories

Code for paper "EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning"

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Code for ICML21 paper "Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation"

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Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning"

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This is a Java-based benchmark for matrix approximation based collaborative filtering

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Code for ICLR2023 paper "Graph Signal Sampling for Inductive 1-bit Matrix Completion: a Closed-Form Solution"

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Code for TKDE22 paper "Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation"

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Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"

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Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).

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The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

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This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way

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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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