Eilene / GraphHeat

Related projects: ⓘ

• cszhangzhen / MVPool
  Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
  ☆21Updated last year
• Sean-Huang65 / AUX-TS
  official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"
  ☆39Updated 2 years ago
• RingBDStack / ACE-HGNN
  Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”
  ☆16Updated 2 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆34Updated 4 months ago
• abcbdf / ADC
  ☆25Updated 11 months ago
• TrustAGI-Lab / UDAGCN
  Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.
  ☆55Updated 3 years ago
• datake / AdaGCN
  Official Implementation of AdaGCN (ICLR 2021)
  ☆60Updated 2 years ago
• sxu-yaokx / MAGCN
  ☆26Updated 2 years ago
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆16Updated last year
• psanch21 / LCAT
  ☆20Updated last year
• hedongxiao-tju / HOG-GCN
  ☆37Updated 2 years ago
• qncsn2016 / DeepGWC
  code of DeepGWC: A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification
  ☆16Updated last year
• YuGuangWang / UFG
  ☆34Updated 2 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆53Updated 3 years ago
• asFeng / kergnns
  ☆29Updated 2 years ago
• RiemannGraph / MotifRGC
  Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
  ☆13Updated 5 months ago
• JC-202 / CAGNN
  ☆15Updated last year
• yusonghust / MT-MVGCN
  source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"
  ☆18Updated 3 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…
  ☆23Updated 2 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆39Updated 3 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆107Updated last year
• sunilkmaurya / FSGNN
  ☆30Updated last year
• yh-yao / InterpretableClustering
  ☆21Updated 3 months ago
• SitaoLuan / When-Do-GNNs-Help
  Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…
  ☆17Updated 8 months ago
• TrustAGI-Lab / MERIT
  [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
  ☆39Updated last year
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆46Updated 3 years ago
• PreckLi / RAHG
  Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.
  ☆11Updated 2 months ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆85Updated 2 years ago
• Yangyeeee / SGAT
  ☆39Updated 3 years ago
• zaixizhang / Graph_Transformer
  A pytorch implementation of graph transformer for node classification
  ☆28Updated last year