april211
A master's student majoring in graph structure learning & graph neural networks.
New York, USA
april211's Stars
run-llama/llama_index
LlamaIndex is a data framework for your LLM applications
Guang000/Awesome-Dataset-Distillation
A curated list of awesome papers on dataset distillation and related applications.
BobMcDear/attorch
A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
DmitryRyumin/AAAI-2024-Papers
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
bingzhewei/geom-gcn
THUMNLab/awesome-large-graph-model
Papers about large graph models.
LirongWu/KDGA
Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks"
FutureXiang/ddae
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
CUAI/Non-Homophily-Large-Scale
[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
BUPT-GAMMA/Graph-Structure-Estimation-Neural-Networks
Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"
yuwvandy/CAGCN
This repository includes the implementation of CAGCN and the experiments on link prediction/node classification
yuwvandy/G2GNN
junxia97/ProGCL
[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
vivekmyers/contrastive_planning
Code for the paper "Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference"
susheels/gnns-and-local-assortativity
This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns"
sunilkmaurya/FSGNN
statsle/DDM
Directional diffusion models
Wu-Junran/SEP
code implementation of SEP(ICML 2022)
liun-online/CoGSL
Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression
Newiz430/Pretext
Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"
JC-202/CAGNN
RingBDStack/PASTEL
Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"
yeonjun-in/torch-SG-GSR
The official source code for Self-Guided Robust Graph Structure Refinement (SG-GSR) at WWW 2024 Research Track.
LirongWu/RFA-GNN
Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"
LirongWu/L2A
Code for ECML-PKDD 2023 paper "Learning to Augment Graph Structure for both Homophily and Heterophily Graphs"
LiuChuang0059/StructMAE
Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
uestclbh/PC-Conv
MingzeDong/ESNR
yuwvandy/Topo_LP_GNN
MingzeDong/GPS