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awesome-graph-causal-learning

A list of Graph Causal Learning materials.

awesome-graph-contrastive-learning-with-heterophily

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

bdcmf

Bayesian Deep Collaborative Matrix Factorization (AAAI 2019)

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

direct-preference-optimization

Reference implementation for DPO (Direct Preference Optimization)

dqn-rec

dropedge

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

graphacl

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

l2p

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

literaturedl4graph

molbind

MolBind: Multimodal Alignment of Language, Molecules, and Proteins