Alternatives and similar repositories for Graph-Classification-Baseline

Users that are interested in Graph-Classification-Baseline are comparing it to the libraries listed below

• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆143Updated 2 years ago
• FelixDJC / GRADATE
  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…
  ☆63Updated last year
• yuwvandy / G2GNN
  ☆45Updated 2 years ago
• 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…
  ☆141Updated 2 years ago
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆38Updated 2 years ago
• NSSSJSS / MHGCN
  KDD'22
  ☆64Updated 3 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆116Updated 7 months ago
• YujieMo / SUGRL
  ☆47Updated 3 years ago
• LingxiaoShawn / GLAM
  Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)
  ☆12Updated 3 years ago
• graphprojects / CM-GCL
  Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
  ☆20Updated 2 years ago
• hedongxiao-tju / HOG-GCN
  ☆38Updated 3 years ago
• bdy9527 / FAGCN
  ☆98Updated 4 years ago
• qiaoyu-tan / S2GAE
  ☆49Updated 2 years ago
• daiquanyu / AdaGCN_TKDE
  This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…
  ☆25Updated 3 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆86Updated 11 months ago
• sheldonresearch / HWNN
  Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021
  ☆31Updated 4 months ago
• IMKBLE / MAGCN
  ☆39Updated 4 years ago
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆24Updated 3 years ago
• wenzhilics / GraphSHA
  "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23
  ☆31Updated last year
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 4 years ago
• draym28 / LSGNN
  [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
  ☆17Updated last year
• AndyJZhao / HGSL
  Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks
  ☆119Updated 3 years ago
• zjunet / AMNet
  ☆38Updated 3 years ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆180Updated last year
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆38Updated last year
• ronghangzhu / CensNet
  ☆71Updated 3 years ago
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆74Updated 4 years ago
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆81Updated 3 years ago
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆59Updated last year
• zhao-tong / Graph-Anomaly-Loss
  TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …
  ☆43Updated 2 years ago