InterpretableDTIP

This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional neural network (CNN) for proteins.

BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions

LLM hidden states extractor and injector.

Official repository of paper "SLANG: New Concept Comprehension of Large Language Models"

Meta-Transformer for Unified Multimodal Learning

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

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

This repository contains a list of papers on spatio-temporal graph, especially about GNNs on S-T graph.

Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks

Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)

ST-GAT: Spatio-Temporal Graph Attention Network for TrafficFlow Prediction

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction

Code for "Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks" accepted by TMLR 2023

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

Outlier-Resilient Web Service QoS Prediction

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Next RecSys Library

Source code for CIKM 2021 paper “Topic-aware Heterogeneous Graph Neural Network for Link Prediction”

SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation

Graph Trend Filtering Networks for Recommendations, SIGIR'2022

HCCF, SIGIR 2022

Source code for WWW 2021 paper "Lorentzian Graph Convolutional Networks"