Alternatives and similar repositories for MTC-with-Category-Shifts

Users that are interested in MTC-with-Category-Shifts are comparing it to the libraries listed below

• ha-lins / PGCL
  The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]
  ☆24Updated 3 years ago
• PKU-ML / ContraNorm
  Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
  ☆35Updated 2 years ago
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆22Updated last year
• WanyuGroup / CVPR2022-OrphicX
  Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…
  ☆35Updated 3 years ago
• DeepGraphLearning / SPN
  ☆29Updated 3 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆46Updated 5 years ago
• snap-research / MLPInit-for-GNNs
  [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
  ☆77Updated 2 years ago
• xiangwang1223 / reinforced_causal_explainer
  Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
  ☆40Updated 3 years ago
• Somedaywilldo / AutoGCL
  AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)
  ☆48Updated 3 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆54Updated last year
• thudzj / NEigenmaps
  ☆12Updated last year
• WtaoZhao / GraphGLOW
  PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
  ☆36Updated 2 years ago
• yang-han / P-reg
  Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
  ☆34Updated 4 years ago
• yaochenzhu / Deep-Deconf
  Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)
  ☆27Updated 2 years ago
• yxzwang / PhenomNN
  Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks
  ☆23Updated 2 years ago
• tbh-98 / Hypergraph-MLP
  ☆20Updated 2 years ago
• Emiyalzn / GraphDE
  Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…
  ☆20Updated 3 years ago
• junkangwu / ADNCE
  [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"
  ☆41Updated 2 years ago
• weigq / neurips2021_stats
  ☆35Updated 4 years ago
• mkrzywda / GraphTransformers
  Sandbox to analysis and benchmarking Graph Transformer Neural Networks
  ☆38Updated 2 years ago
• scottshufe / Awesome-Graph-Contrastive-Learning
  A collection of graph contrastive learning methods.
  ☆18Updated 3 years ago
• phython96 / ARGNP
  Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR'22, Oral)
  ☆26Updated last year
• LFhase / CIGA
  [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
  ☆120Updated 2 years ago
• SherylHYX / GNNRank
  Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
  ☆54Updated 3 years ago
• SubsetSelection / EquiVSet
  NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle
  ☆21Updated 3 years ago
• alessant / HEE
  ☆11Updated 2 years ago
• weitianxin / HyperGCL
  [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…
  ☆62Updated 3 years ago
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 3 years ago
• dglai / WSDM2022-Challenge
  WSDM2022 Challenge - Large scale temporal graph link prediction
  ☆38Updated 3 years ago
• victorchen96 / Draw-Paper-Plot-Using-Seaborn
  some examples for drawing illustration plots for paper using seaborn package
  ☆15Updated 6 years ago