从零编写游戏引擎教程 Writing a game engine tutorial from scratch

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

This is the official implementation for paper "How Graph Neural Networks Learn: Lessons from Training Dynamics".

[WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.

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

[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

Official Implementation of KDD 2023 paper: "Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations"

[TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023

This is the code for the paper "Cross-modal Ambiguity Learning for Multimodal Fake News Detection" of WWW2022.

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

The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).

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

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

[ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)

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

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

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

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.

Materials for Mathematical Tools for Neuroscience course at Harvard (Neurobio 212)

bigcomputing

Latex code for making neural networks diagrams

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

Sequential Recommender System based on Hierarchical Attention Network

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

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…

Markov Random Fields for Collaborartive Filtering