Alternatives and similar repositories for Graph-Reinforcement-Learning-Papers

Users that are interested in Graph-Reinforcement-Learning-Papers are comparing it to the libraries listed below

• idea-iitd / GCOMB
  ☆35Updated 2 years ago
• safe-graph / RioGNN
  Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
  ☆75Updated 9 months ago
• neunms / Reinforcement-learning-on-graphs-A-survey
  This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.
  ☆185Updated 7 months ago
• yanghu819 / Graph-MLP
  ☆77Updated 4 years ago
• VGraphRNN / VGRNN
  Variational Graph Recurrent Neural Networks - PyTorch
  ☆116Updated 5 years ago
• flyingtango / DiGCN
  Implement of DiGCN, NeurIPS-2020
  ☆47Updated 4 years ago
• xuaikun / THAN
  THAN: Multi-Modal Transportation Recommendation with Heterogeneous Graph Attention Networks
  ☆13Updated 7 months ago
• jhljx / CTGCN
  CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…
  ☆95Updated 2 years ago
• LechengKong / MAG-GNN
  Official implementation of MAG-GNN: an RL-boosted graph learning framework.
  ☆19Updated last year
• triplej0079 / DeepIM
  ☆44Updated 2 years ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆52Updated last year
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆58Updated 4 years ago
• jiangqn / GCN-GAN-pytorch
  A pytorch implemention of GCN-GAN for temporal link prediction.
  ☆105Updated 5 years ago
• qwerfdsaplking / Graph-Trans
  A graph transformer framework
  ☆77Updated 3 years ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆103Updated 3 weeks ago
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆30Updated 5 years ago
• shuowang-ai / GeniePath-pytorch
  This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…
  ☆105Updated 11 months ago
• flyingdoog / PTDNet
  Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
  ☆80Updated 4 years ago
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆64Updated last year
• aurelienbibaut / DQN_MVC
  Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)
  ☆33Updated 7 years ago
• matthew-hirn / magnet
  MagNet graph convolutional network
  ☆39Updated last year
• DeepGraphLearning / ContinuousGNN
  ☆47Updated 3 years ago
• ShengdingHu / GraphPolicyNetworkActiveLearning
  The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"
  ☆46Updated 4 years ago
• DM2-ND / CFLP
  Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
  ☆70Updated 2 years ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆88Updated 3 years ago
• alge24 / DyGNN
  ☆61Updated 4 years ago
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆67Updated 3 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆37Updated last year
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆33Updated 3 years ago
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago