Alternatives and similar repositories for GTC

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

• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆37Updated last year
• Peiyance / TransGNN-torch
  TransGNN, SIGIR 2024
  ☆54Updated 11 months ago
• sh-qiangchen / GNN-Theory-Papers
  This repository mainly lists some the latest research on graph neural network theory.
  ☆98Updated last year
• NSSSJSS / MHGCN
  KDD'22
  ☆64Updated 2 years ago
• Ffffffffire / HINormer
  ☆33Updated 2 years ago
• zkxinxin / HCMGNN
  Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction
  ☆10Updated 10 months ago
• JialuChenChina / ASP
  The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)
  ☆20Updated 3 months ago
• Zehong-Wang / SR-HGN
  This repo is for source code of Expert Systems with Applications paper "SR-HGN: Semantic-and Relation-Aware Heterogeneous Graph Neural Ne…
  ☆13Updated last year
• BUPT-GAMMA / GCIL
  Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective
  ☆25Updated last year
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆142Updated 3 months ago
• FelixDJC / GRADATE
  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…
  ☆59Updated last year
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆83Updated 7 months ago
• yueliu1999 / KAN4Graph
  Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
  ☆60Updated 8 months ago
• ki-ljl / GNNs-for-Node-Classification
  Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…
  ☆135Updated 2 years ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆32Updated 3 years ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆62Updated 2 years ago
• cynricfu / MECCH
  MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
  ☆21Updated last year
• ICT-GIMLab / SeHGNN
  ☆114Updated last year
• shenxiaocam / NCLA
  Neighbor Contrastive Learning on Learnable Graph Augmentation
  ☆37Updated last year
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆58Updated last year
• mala-lab / GGAD
  Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"
  ☆51Updated last month
• XiaShan1227 / Graphormer
  Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]
  ☆46Updated 7 months ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆115Updated 2 months ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆139Updated 2 years ago
• Marigoldwu / PyDGC
  A Unified Library for Deep Graph Clustering
  ☆110Updated last week
• qiaoyu-tan / S2GAE
  ☆49Updated 2 years ago
• HHW-zhou / TDHNN
  Code of "Totally Dynamic Hypergraph Neural Network"
  ☆23Updated last year
• XiaobinHong / LAD-GNN
  The source code of LAD-GNN.
  ☆17Updated last year
• zjunet / DropMessage
  The implementation for DropMessage.
  ☆37Updated 2 years ago
• EdisonLeeeee / MaskGAE
  [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
  ☆87Updated 7 months ago