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TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
Graph Local InfoMax for decoding multi-level relationships with human tissue-cell-molecule network
30+ 款 Markdown 预览主题，Typo.css、Vue、Bear、飞书云文档等风格，适用于 MWeb、Typora。
Python package built to ease deep learning on graph, on top of existing DL frameworks.
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
A knowledge graph and a set of tools for drug repurposing
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks (KDD 2023)
links to conference publications in graph-based deep learning
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
[ICCV2023] Official PyTorch Implementation of "BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction". ICCV 2023
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts
Official implementation of the paper "MotionCrafter: One-Shot Motion Customization of Diffusion Models"
[CVPR2024] MotionEditor is the first diffusion-based model capable of video motion editing.
Official PyTorch implementation for the paper "Neural Video Fields Editing"
Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models
[arXiv 2023] Follow-Your-Handle: This repo is the official implementation of "MagicStick: Controllable Video Editing via Control Handle Transformations"
Video Colorization with Pre-trained Text-to-Image Diffusion Models
RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models - CVPR 2024 - Official Repo
Code for [CVPR 2024] VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence
[CSUR] A Survey on Video Diffusion Models