Alternatives and similar repositories for GIFT

Users that are interested in GIFT are comparing it to the libraries listed below

• KEAML-JLU / SimSTC
  The source code for "A Simple Graph Contrastive Learning Framework for Short Text Classification"
  ☆11Updated 4 months ago
• jindi-tju / HGNN-AC
  Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"
  ☆37Updated 4 years ago
• zjunet / DropMessage
  The implementation for DropMessage.
  ☆37Updated 2 years ago
• victorchen96 / ReNode
  Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".
  ☆54Updated 3 years ago
• qwerfdsaplking / MC-Fake
  Fake News Dataset
  ☆29Updated 2 years ago
• crisostomi / metric-few-shot-graph
  Few-Shot Graph Classification via distance metric learning.
  ☆23Updated last year
• Lion-ZS / OTKGE
  ☆31Updated 2 years ago
• Rooooyy / HILL
  Official implementation for NAACL 2024 paper "HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Class…
  ☆19Updated last year
• yule-BUAA / LEGNN
  codes of LEGNN for Semi-supervised Node Classification
  ☆12Updated 3 years ago
• scottshufe / Awesome-Graph-Contrastive-Learning
  A collection of graph contrastive learning methods.
  ☆18Updated 3 years ago
• ZhiningLiu1998 / BAT
  [ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类
  ☆25Updated 7 months ago
• jcheng66 / WGDN
  Wiener Graph Deconvolutional Network Improves Self-Supervised Learning in AAAI 2023
  ☆18Updated last year
• Xovee / ccgl
  TKDE 2022. CCCL: Contrastive Cascade Graph Learning.
  ☆39Updated last year
• zhiming-xu / conad
  Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)
  ☆27Updated 2 years ago
• jweihe / ADA-GAD
  Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).
  ☆23Updated 2 months ago
• dgliu / KDD22_UEG
  Experiments codes for SIGKDD '22 paper "User-Event Graph Embedding Learning for Context-Aware Recommendation"
  ☆11Updated 2 years ago
• wanggangkun / ST-Text-GCN
  Code for paper "Self-training Method Based on GCN for Semi-supervised Short Text Classification"
  ☆12Updated 3 years ago
• KEAML-JLU / DADGNN
  The source code of "Deep attention diffusion graph neural networks for text classification"
  ☆13Updated last year
• GuanZhengChen / GGPN
  ☆10Updated 3 years ago
• yzhang1918 / cikm2022rudi
  Codes and data for CIKM 2022 paper "RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation"
  ☆11Updated 2 years ago
• googlebaba / StableGNN
  StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
  ☆23Updated last year
• eaglelab-zju / DGLD
  Deep Graph Outlier Detection
  ☆67Updated last year
• RUCKBReasoning / ClusterSCL
  The pytorch implementation of Cluster-Aware Supervised Contrastive Learning on Graphs (WWW 2022).
  ☆11Updated 3 years ago
• HarryShomer / KG-Mixup
  Implementation of the WWW'23 paper "Toward Degree Bias in Embedding-Based Knowledge Graph Completion"
  ☆16Updated 2 years ago
• Ahren09 / FinerFact
  PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection
  ☆31Updated 3 years ago
• zhurboo / RAGA
  Relation-aware Graph Attention Networks for Global Entity Alignment
  ☆21Updated 4 years ago
• Ee1s / GOODAT
  GOODAT: Towards Test-time Graph Out-of-Distribution Detection
  ☆11Updated last year
• allanchen95 / GraphCAD
  TKDE'22-GraphCAD: Graph Contrastive Learning for Anomaly Detection: https://arxiv.org/pdf/2108.07516.pdf
  ☆9Updated 2 years ago
• TianXieUSC / GraphHop
  ☆20Updated 3 years ago
• noise-learning / SelfMix
  ☆36Updated 2 years ago