PocketDTA

The code of HDGAT

A Python package for analyzing and transforming neural latent spaces.

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

a model for drug repositioning

Implementation for paper "Probabilistic Graph Rewiring via Virtual Nodes", accepted at NeurIPS 2024

[CVPR 2023 Highlight & TPAMI] Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

Drug repositioning with adaptive graph convolutional networks

Recipe for a General, Powerful, Scalable Graph Transformer

Graphormer is a general-purpose deep learning backbone for molecular modeling.

Source code for From Stars to Subgraphs (ICLR 2022)

I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Multi-Label Classification with Dual Tail-Node Augmentation for Drug Repositioning

Partner-specific drug repositioning approach based on graph convolutional network

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

Source code for "DeepDTA: deep drug-target binding affinity prediction"

[SIGIR'22] Knowledge Graph Contrastive Learning for Recommendation

HCCF, SIGIR 2022

Strategies for Pre-training Graph Neural Networks

The code for GraphCL-DTA model. (preprint)

Message Passing Neural Networks for Simplicial and Cell Complexes

Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning