PHD-lanyu / GTC
☆24Updated 5 months ago
Alternatives and similar repositories for GTC:
Users that are interested in GTC are comparing it to the libraries listed below
- KDD'22☆59Updated 2 years ago
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆36Updated last year
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆132Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆59Updated 4 months ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- ☆33Updated last year
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆21Updated last year
- MMGCN：Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction☆20Updated 3 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆51Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- 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
- Heterogeneous Graph Contrastive Multi-view Learning, SDM 23☆20Updated last year
- TransGNN, SIGIR 2024☆44Updated 7 months ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆55Updated 2 years ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆20Updated 2 years ago
- Reimplementation of Graph Embedding methods by Pytorch.☆169Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆133Updated 2 years ago
- The implementation for DropMessage.☆36Updated last year
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆83Updated 3 months ago
- ☆104Updated last year
- This repository mainly lists some the latest research on graph neural network theory.☆96Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆76Updated 3 months ago
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 8 months ago
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆23Updated 11 months ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆54Updated 9 months ago
- ☆48Updated 2 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆15Updated 10 months ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 8 months ago
- Code for paper "Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation" (TKDE 2023)☆13Updated last month