tengxiao1

Awesome-Graph-Contrastive-Learning-with-Heterophily

Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily

GraphACL

GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)

BDCMF

Bayesian Deep Collaborative Matrix Factorization (AAAI 2019)

L2P

L2P: Learning How to Propagate Messages in Graph Neural Networks (KDD 2021)

GraphECL

Efficient Contrastive Learning for Fast and Accurate Inference on Graphs (ICML 2024)

Awesome-Graph-Causal-Learning

A list of Graph Causal Learning materials.

d3rlpy

An offline deep reinforcement learning library

DBML

Dynamic Bayesian Metric Learning for Personalized Product Search (CIKM 2019)

DCWTE

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

DQN-REC

DropEdge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

LiteratureDL4Graph

direct-preference-optimization

Reference implementation for DPO (Direct Preference Optimization)