saimunikoti / InfluenceMaximization-Deep-QLearningLinks
Scalable and computationally efficient deep reinforcement learning framework for influence maximization
☆13Updated 6 months ago
Alternatives and similar repositories for InfluenceMaximization-Deep-QLearning
Users that are interested in InfluenceMaximization-Deep-QLearning are comparing it to the libraries listed below
Sorting:
- ☆46Updated 2 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆65Updated last year
- Graph Source Localization Library☆14Updated 11 months ago
- ☆10Updated 5 years ago
- DISCO: Influence Maximization Meets Graph Embedding and Deep Learning (a.k.a. PIANO)☆15Updated 3 years ago
- Implementation of "ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning" (https://arxiv.org/abs/2…☆28Updated 3 years ago
- Data repository for PyGOD☆44Updated last year
- ☆27Updated 3 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆34Updated 3 years ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆59Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆263Updated 11 months ago
- The official implementation of the DGA-GNN algorithm.☆27Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆86Updated 11 months ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 3 years ago
- ☆63Updated 4 years ago
- The source code of SpCo☆34Updated 2 years ago
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 3 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 3 years ago
- A Survey of Learning from Graphs with Heterophily☆152Updated 8 months ago
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- The codes of IJCAI 2021 paper "Temporal Heterogeneous Information Network Embedding"☆15Updated 3 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆43Updated 4 years ago
- Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…☆45Updated 3 years ago
- TransGNN, SIGIR 2024☆60Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 2 years ago
- ☆80Updated last year
- Paper List for Fair Graph Learning (FairGL).☆142Updated last year
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆274Updated 2 years ago