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sagpool

Official PyTorch Implementation of SAGPool - ICML 2019

san

sat

Official Pytorch code for Structure-Aware Transformer.

scienceplots

Matplotlib styles for scientific plotting

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

seal-ci

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

self-enhanced_gnn

Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs (IJCNN2021)

selftask-gnn

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

seq2seq

Sequence to Sequence Learning with Keras

sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

sgcn

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

sigat

source code for signed graph attention networks

simgnn

slaps-gnn

PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"

slice

Subgraph Based Learning of Contextual Embedding

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

snea

Learning Signed Network Embedding via Graph Attention, aaai2020

spectral_graph_convnets

PyTorch implementation of spectral graph ConvNets, NIPS’16

spektral

Graph Neural Networks with Keras and Tensorflow 2.

src

Code for "Understanding Pooling in Graph Neural Networks"

ss-gcns

[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

supergat

Official implementation of Self-supervised Graph Attention Networks (SuperGAT), ICLR 2021.

tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

textssl

[AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification

torchssl

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

transformer_for_medical_image_analysis

A collection of papers about Transformer in the field of medical image analysis.

ugraphemb

unified-lth-gnn

[ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhangyang Wang