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An open-source framework for self-supervised recommender systems.

adafuse

The official code of ’AdaFuse: Adaptive Medical Image Fusion Based on Spatial-Frequential Cross Attention‘.

adaptive-graph-diffusion-networks

Adaptive Graph Diffusion Networks

adpmda

PyTorch implement of ADPMDA

ae-dnn

An Ensemble Approach for CircRNA-Disease association prediction based on Autoencoder and Deep Neural Network

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

apegnn

Node-Wise Adaptive Aggregation in GNNs for Recommendation (WWW23)

awesome-cold-start-recommendation

A curated list of papers on cold-start recommendations.

awesome-gnn-research

My future research

awesome-graph-self-supervised-learning

Awesome Graph Self-Supervised Learning

awesome-pretraining-for-graph-neural-networks

A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).

bgnn

bilinear graph neural network

bigae

Code Repo for EMNLP'23 paper "Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders"

ccfcrec

cdhgnn

prioritizing disease-related circRNAs with heterogeneous graph neural networks and attention mechanism

circrna-diseaseanalysis

利用深度学习模型挖掘CircRNA-Disease之间的关联

cmpe297-cv-project-team-4

CPMPE297 Computer Vision Project

cosmig

Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction

cpa

Source code for our paper "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)

csgnn

deepcovdr

deepmne

Code and data of DeepMNE algorithm

dgae

disease-mesh-similarity

For each disease, a directed acyclic graph (DAG) is constructed based on hierarchical descriptors, in which nodes represent disease MeSH descriptors (or disease terms) and edges represent the relationship between the current node and its ancestors. Then compare the DAG Similarity.

dll2c

dnn-dtis

DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network

dnncc_mindspore

蛋白质序列处理方法

drhgcn

Drug repositioning based on the heterogeneous information fusion graph convolutional network

drug-target

drugban

Interpretable bilinear attention network with domain adaptation improves drug-target prediction.