Alternatives and similar repositories for Papers-Graphs-with-Heterophily

Users that are interested in Papers-Graphs-with-Heterophily are comparing it to the libraries listed below

• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆256Updated 6 months ago
• SitaoLuan / LLM4Graph
  ☆176Updated last year
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆76Updated 8 months ago
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆80Updated 6 months ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆216Updated last year
• tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
  Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
  ☆37Updated last year
• Marigoldwu / PyDGC
  A Unified Library for Deep Graph Clustering
  ☆110Updated last week
• ICT-GIMLab / SeHGNN
  ☆113Updated last year
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆82Updated 6 months ago
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆116Updated 2 years ago
• Cloudy1225 / Awesome-Link-Prediction
  A list of recent papers about Link Prediction.
  ☆89Updated 2 weeks ago
• liun-online / HeCo
  The source code of HeCo
  ☆165Updated 3 years ago
• Ffffffffire / HINormer
  ☆33Updated 2 years ago
• cshhzhao / GCOPE
  Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…
  ☆39Updated 7 months ago
• Starlien95 / HGPrompt
  ☆16Updated last year
• zylMozart / Disentangle_GraphHom
  [Neurips 2024] Disentangled Graph Homophily
  ☆25Updated 4 months ago
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆98Updated last year
• ivam-he / PSHGCN
  ☆18Updated 4 months ago
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆35Updated 6 months ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆120Updated 11 months ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆171Updated last year
• Emory-Melody / awesome-graph-reduction
  [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
  ☆155Updated last week
• Peiyance / TransGNN-torch
  TransGNN, SIGIR 2024
  ☆53Updated 10 months ago
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆80Updated last year
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆318Updated last week
• MingChen-Sun / GPPT
  ☆60Updated 2 years ago
• LUMIA-Group / OrderedGNN
  The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).
  ☆44Updated last year
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆249Updated last year
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆54Updated last year
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆37Updated last year