Papers

• 2024

  • [Paper
  • [Paper
  • [Paper - codes/NIFA)]
  • [Paper
  • [Paper
  • [Paper - lr/graph-aware-logistic-regression)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - GNN/)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - CT)]
  • [Paper - tokenizer)]
  • [Paper
  • [Paper
  • [Paper - SympGNN)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - gnn)
  • [Paper
  • [Paper - graph-convolution)
  • [Paper
  • [Paper - GNN)
  • [Paper - LAGAS/TADA)
  • [Paper
  • [Paper
  • [Paper - JLU/Meta-GPS-Plus)]
  • [Paper
  • [Paper - Body-MPNN)]
  • [Paper - Graphormer)
  • [Paper - Conv)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - zhang/Polynormer)
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - Space-Adaptive-Filter)
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • Survey Paper - Survey-Graphs-with-Heterophily)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - SA)
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - NoSAF-D)
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - benchmark-gnn)
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - GFD)]
  • [Paper

• 2023

  • [Paper - mueller/probing-graph-transformers)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - Team/PathMLP)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - GReTo)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper - Group/OrderedGNN)]
  • [Paper
  • [Paper
  • [Paper - research/heterophilous-graphs)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - wyc/GAGA)]
  • [Paper - GSL)]
  • [Paper
  • [Paper - Polito/GCNH)]
  • [Paper - 202/CAGNN)
  • [Paper - AILab/MVGE)
  • [Paper
  • [Paper - research/graphworld)
  • [Paper - Graph-Complementary-Learning)
  • [Paper
  • [Paper
  • [Paper
  • [Paper - GNN)
  • [Paper
  • [Paper
  • Survey Paper
  • [Paper - Enhanced-Self-supervision)
  • [Paper
  • [Paper - Diffusion-CDE)
  • [Paper
  • [Paper
  • [Paper - GNN)
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - Encoder)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - Do-GNNs-Help)
  • [Paper
  • [Paper - lab/TAM-master/)]
  • [Paper
  • [Paper - byebye/LRGNN/)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - heterophily-gesn)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - Lab/CAT)]
  • [Paper
  • [Paper
  • [Paper

• 2022

  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - tju/BM-GCN)]
  • [Paper - tju/HOG-GCN)]
  • [Paper
  • [Paper - Research/F2GNN)]
  • [Paper - gnn)]
  • [Paper
  • [Paper - hao)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - tju/RAWGNN)
  • [Paper
  • [Paper
  • [Paper - research/neural-sheaf-diffusion)
  • [Paper
  • [Paper - inspired-gnn)
  • [Paper
  • [Paper
  • [Paper - 202/MMP)
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • Tutorial - Tutorial)
  • [Paper
  • [Paper - Laplacian-Regularization)
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • Survey Paper
  • [Paper
  • [Paper - Graph-Representation-Learning-Beyond-Node-and-Homophily)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - GNN)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - xu/hp-gmn)
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper

• 2021

  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper - homophily-large-scale)]
  • [Paper
  • [Paper - tju/U-GCN)]
  • [Paper - jc/EIGNN)]
  • [Paper - he/BernNet)]
  • [Paper
  • [Paper
  • [Paper - kim/SuperGAT)]
  • [Paper
  • [Paper
  • [Paper - GCN)]
  • [Paper
  • [Paper - and-local-assortativity)]
  • [Paper - Local-GNN)]
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper
  • [Paper

• 2020

  • [Paper
  • [Paper
  • [Paper - uiuc-jlu/geom-gcn)]