Alternatives and similar repositories for Chinese-Reading-Notes-of-Graph-Learning

Users that are interested in Chinese-Reading-Notes-of-Graph-Learning are comparing it to the libraries listed below

• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆151Updated 8 months ago
• ICT-GIMLab / SeHGNN
  ☆119Updated 2 years ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆179Updated last year
• ki-ljl / GNNs-for-Node-Classification
  Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…
  ☆140Updated 2 years ago
• Orion-wyc / GAGA
  Fraud Detection, Low Homophily, Label Utilization, Graph Mining
  ☆49Updated last year
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆133Updated last year
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆38Updated 2 years ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆106Updated 3 years ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆143Updated 2 years ago
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆129Updated last year
• pygod-team / data
  Data repository for PyGOD
  ☆44Updated last year
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆263Updated 10 months ago
• ckldan520 / DDGCL
  code for "Self-supervised representation learning on dynamic graphs"
  ☆27Updated 3 years ago
• YujieMo / SUGRL
  ☆47Updated 3 years ago
• liun-online / HeCo
  The source code of HeCo
  ☆168Updated 3 years ago
• Zehong-Wang / HGCML
  Heterogeneous Graph Contrastive Multi-view Learning, SDM 23
  ☆23Updated 2 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆95Updated 3 years ago
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆74Updated last year
• KuroginQin / OpenTLP
  [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…
  ☆58Updated 11 months ago
• liun-online / SpCo
  The source code of SpCo
  ☆35Updated 2 years ago
• ki-ljl / GNNs-for-Link-Prediction
  Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…
  ☆66Updated 2 years ago
• ZZy979 / pytorch-tutorial
  PyTorch示例代码；复现GNN模型
  ☆136Updated 3 years ago
• shifengzhao / H2-FDetector
  ☆31Updated 3 years ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆64Updated 2 years ago
• doujiang-zheng / Dynamic-Temporal-Graph-Learning-Reading-List
  Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
  ☆61Updated 2 years ago
• seven-echo / Dynamic-graph-dataset
  Dynamic graph/network dataset for dynamic graph/network embedding/representation
  ☆36Updated 5 years ago
• SitaoLuan / LLM4Graph
  ☆185Updated last year
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆59Updated last year
• NSSSJSS / MHGCN
  KDD'22
  ☆65Updated 2 years ago
• Peiyance / TransGNN-torch
  TransGNN, SIGIR 2024
  ☆60Updated last year