yqhuang722/Paper-List

A paper list of my history reading. GNN, GRL, GFM, etc.

Size: 16.6 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

HKUDS/Awesome-LLM4Graph-Papers

[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"

Size: 1.86 MB - Last synced at: 28 minutes ago - Pushed at: 4 months ago - Stars: 329 - Forks: 14

htcr/sam_road

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

Language: Python - Size: 3.08 MB - Last synced at: 3 days ago - Pushed at: 12 months ago - Stars: 206 - Forks: 31

malllabiisc/CompGCN

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

Language: Python - Size: 4.35 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 621 - Forks: 109

acbull/pyHGT

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

Language: Python - Size: 17.8 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 852 - Forks: 165

rampasek/GraphGPS

Recipe for a General, Powerful, Scalable Graph Transformer

Language: Python - Size: 12.6 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 761 - Forks: 132

naganandy/graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 4,940 - Forks: 783

benedekrozemberczki/awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

Language: Python - Size: 1.79 MB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 4,789 - Forks: 739

Zehong-Wang/Awesome-Foundation-Models-on-Graphs

A collection of graph foundation models including papers, codes, and datasets.

Size: 3.68 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 68 - Forks: 6

Noah-Agnel/Karate-Club-Node2Vec

Using the Node2vec embedding approach to assign members of the Zachary's Karate Club dataset to their correct club

Language: Python - Size: 6.84 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

Xtra-Computing/Awesome-Literature-ILoGs

Awesome literature on imbalanced learning on graphs

Size: 238 KB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 75 - Forks: 9

c2g-dev/city2graph

Transform geospatial relations into graph representations designed for spatial analysis and Graph Neural Networks (GNNs).

Language: Python - Size: 193 MB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 7 - Forks: 0

mala-lab/Awesome-Deep-Graph-Anomaly-Detection

Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection (TKDE2025)

Size: 20.7 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 119 - Forks: 9

PyGCL/PyGCL

PyGCL: A PyTorch Library for Graph Contrastive Learning

Language: Python - Size: 661 KB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 945 - Forks: 98

mims-harvard/SHEPHERD

SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases

Language: HTML - Size: 544 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 58 - Forks: 20

XYGaoG/Graph-Condensation-Papers

Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.

Size: 224 KB - Last synced at: 15 days ago - Pushed at: 26 days ago - Stars: 44 - Forks: 0

junxia97/awesome-pretrain-on-molecules

[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

Size: 565 KB - Last synced at: 26 days ago - Pushed at: about 2 years ago - Stars: 528 - Forks: 56

acbull/GPT-GNN

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

Language: Python - Size: 9.51 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 494 - Forks: 89

BorgwardtLab/NeuralWalker

Official Pytorch implementation of NeuralWalker (ICLR 2025)

Language: Python - Size: 26.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 33 - Forks: 2

VeritasYin/subg_acc

SubG is a C/OpenMP-based library for accelerating subgraph operations in Python.

Language: C - Size: 1.68 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Accenture/AmpliGraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Language: Python - Size: 42.3 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 2,219 - Forks: 251

HKUDS/GFormer

[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"

Language: Python - Size: 7.43 MB - Last synced at: 23 days ago - Pushed at: about 1 year ago - Stars: 72 - Forks: 14

AndreasLF/HowLowCanYouGo

🚀 HowLowCanYouGo – Official implementation of "How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks Using Metric Node Embeddings" (ICLR 2025)

Language: Python - Size: 66.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

user683/DRGO

[WWW'25]The official implementation of Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model

Language: Python - Size: 50.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 9 - Forks: 1

JinheonBaek/GMT

Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)

Language: Python - Size: 34.1 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 107 - Forks: 20

snap-stanford/pretrain-gnns

Strategies for Pre-training Graph Neural Networks

Language: Python - Size: 179 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 1,017 - Forks: 167

fork123aniket/End-to-End-Node-and-Graph-Classification-and-Explanation-App

Streamlit App for Node and Graph Classification and Explainability

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JaanuNan/DropGNN

🔬 DropGNN Implementation | Official PyTorch implementation of "DropGNN: Random Dropouts Increase the Expressiveness of GNNs". Enhances Graph Neural Networks with node dropout for improved drug discovery tasks.

Language: Jupyter Notebook - Size: 2.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Zehong-Wang/G2PM

Scalable Graph Generative Modeling via Substructure Sequences

Language: Python - Size: 2.7 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

graphdeeplearning/benchmarking-gnns

Repository for benchmarking graph neural networks (JMLR 2023)

Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 2,587 - Forks: 456

dsgiitr/graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 1,195 - Forks: 228

snapfinger/Untamed

Unconstrained Tensor Decomposition and Graph Node Embedding for Cortical Parcellation

Language: Jupyter Notebook - Size: 30.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

dmlc/GNNLens2

Visualization tool for Graph Neural Networks

Language: TypeScript - Size: 20.9 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 251 - Forks: 27

BorgwardtLab/SAT

Official Pytorch code for Structure-Aware Transformer.

Language: Python - Size: 2.59 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 258 - Forks: 41

tsinghua-fib-lab/GNN-Recommender-Systems

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

Size: 186 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1,030 - Forks: 140

JunLLuo/Illicit-transaction-address-detect-PU-Learning

Implementation of the paper: Towards Improved Illicit Node Detection with Positive-Unlabelled Learning

Language: Python - Size: 20.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

SXKDZ/awesome-self-supervised-learning-for-graphs

A curated list for awesome self-supervised learning for graphs.

Size: 25.4 KB - Last synced at: 13 days ago - Pushed at: almost 3 years ago - Stars: 387 - Forks: 45

GentleZhu/Shift-Robust-GNNs

"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')

Language: Python - Size: 9.99 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 48 - Forks: 7

HySonLab/Design2Code

Large Language Model in combination with Large Vision Model for the task of code generation given design sketch.

Language: Python - Size: 270 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

HannesStark/3DInfomax

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Language: Python - Size: 155 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 168 - Forks: 33

chaitjo/efficient-gnns

Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)

Language: Python - Size: 2.32 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 533 - Forks: 64

NSLab-CUK/Community-aware-Graph-Transformer

Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree biases in message-passing mechanism and developed by NS Lab @ CUK based on pure PyTorch backend.

Language: Python - Size: 183 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 13 - Forks: 2

benedekrozemberczki/MixHop-and-N-GCN

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Language: Python - Size: 5.06 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 405 - Forks: 56

HKUDS/GraphST

[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"

Language: Python - Size: 2.09 MB - Last synced at: 23 days ago - Pushed at: 7 months ago - Stars: 54 - Forks: 2

NSLab-CUK/S-CGIB

Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular property prediction and developed by NS Lab, CUK based on pure PyTorch backend.

Language: Python - Size: 4.17 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 6 - Forks: 2

zlpure/awesome-graph-representation-learning

A curated list for awesome graph representation learning resources.

Size: 21.5 KB - Last synced at: 14 days ago - Pushed at: over 2 years ago - Stars: 153 - Forks: 27

crisostomi/metric-few-shot-graph

Few-Shot Graph Classification via distance metric learning.

Language: Python - Size: 641 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 22 - Forks: 1

vijaydwivedi75/lrgb

Long Range Graph Benchmark, NeurIPS 2022 Track on D&B

Language: Jupyter Notebook - Size: 27.6 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 158 - Forks: 22

user683/CausalDiffRec

[WWW'25]The official implementation of Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation

Language: Python - Size: 8.41 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 7 - Forks: 1

daiquocnguyen/GNN-ReGVD

Revisiting Graph Neural Networks for Vulnerability Detection (ICSE 2022) (Pytorch)

Language: Python - Size: 14.2 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 71 - Forks: 19

vijaydwivedi75/gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Language: Python - Size: 267 KB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 253 - Forks: 36

benedekrozemberczki/SEAL-CI

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

Language: Python - Size: 5.08 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 211 - Forks: 43

benedekrozemberczki/Splitter

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Language: Python - Size: 11.4 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 213 - Forks: 44

benedekrozemberczki/AttentionWalk

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Language: Python - Size: 1.25 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 325 - Forks: 47

chaitjo/gated-graph-transformers

Transformers are Graph Neural Networks!

Language: Python - Size: 2.19 MB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 54 - Forks: 7

yq-leo/Network_Alignment_Papers

Top Conference & Journal Papers of Network Alignment

Size: 4.88 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

jhljx/CTGCN

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

Language: Python - Size: 25.1 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 96 - Forks: 28

KaiyuanZh/awesome-graph-representation-learning

A curated list of awesome graph representation learning.

Size: 3.91 KB - Last synced at: 12 days ago - Pushed at: almost 5 years ago - Stars: 69 - Forks: 6

matakshay/DeepRL-for-Delayed-Rewards

Deep RL for Temporal Credit Assignment in decision processes with delayed rewards

Language: Jupyter Notebook - Size: 5.24 MB - Last synced at: 27 days ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 2

chirag-agarwall/nifty

Code for paper https://arxiv.org/abs/2102.13186

Language: Python - Size: 12.7 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 44 - Forks: 13

geriskenderi/graph-jepa

Official code for the paper Graph-level Representation Learning with Joint-Embedding Predictive Architectures published in Transactions on Machine Learning Research (TMLR)

Language: Python - Size: 149 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 19 - Forks: 4

zhengwang100/RECT

This is the source code of "Network Embedding with Completely-Imbalanced Labels". TKDE2020

Language: Python - Size: 9.67 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 18 - Forks: 7

bayer-science-for-a-better-life/phc-gnn

Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

Language: Python - Size: 6.92 MB - Last synced at: 6 months ago - Pushed at: almost 4 years ago - Stars: 31 - Forks: 6

TrustAGI-Lab/MERIT

[IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".

Language: Python - Size: 31.2 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 40 - Forks: 8

NSLab-CUK/Unified-Graph-Transformer

Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and developed by NS Lab @ CUK based on pure PyTorch backend.

Language: Python - Size: 1.65 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 25 - Forks: 5

berlincho/RGCN-pytorch

Pytorch implementation of Relational GCN for node classification

Language: Python - Size: 239 KB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 69 - Forks: 14

monarch-initiative/embiggen

🍇 Embiggen is the Python Graph Representation learning, Prediction and Evaluation submodule of the GRAPE library.

Language: Python - Size: 947 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 42 - Forks: 13

mims-harvard/SubGNN

Subgraph Neural Networks (NeurIPS 2020)

Language: Python - Size: 2.15 MB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 191 - Forks: 34

NSLab-CUK/Graph-Neural-Networks-Fall-2024

Welcome to the Graph Neural Networks (06838-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class.

Language: Jupyter Notebook - Size: 34.8 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 6 - Forks: 1

KimMeen/Neural-Temporal-Walks

[NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"

Language: Python - Size: 173 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 53 - Forks: 10

LirongWu/RFA-GNN

Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"

Language: Python - Size: 20.5 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 3

Dru-Mara/EvalNE

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Language: Python - Size: 849 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 106 - Forks: 26

SitaoLuan/ACM-GNN

NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

Language: Python - Size: 26.3 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 72 - Forks: 8

MGitHubL/Chinese-Reading-Notes-of-Graph-Learning

Size: 131 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 76 - Forks: 8

maxuewei2/RiWalk

Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".

Language: Python - Size: 2.63 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 14 - Forks: 5

Graph-COM/SUREL_Plus

[VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.

Language: C - Size: 4.81 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 17 - Forks: 1

Graph-COM/SUREL

[VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.

Language: C - Size: 45.9 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 4

nphdang/GE-FSG

Graph Embedding via Frequent Subgraphs

Language: Python - Size: 81.9 MB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 44 - Forks: 8

THUDM/Graph-Reading-Group

Daily reading group on graphs at KEG

Size: 46.9 KB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 44 - Forks: 2

amrhssn/teneNCE

Temporal Network Noise Contrastive Estimation (teneNCE) for Dynamic Link Prediction

Language: Python - Size: 2.58 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

LFhase/GALA

[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

Language: Python - Size: 1.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 15 - Forks: 1

SJTU-DMTai/SUNNY-GNN

The official implementation of AAAI'24 paper: Self-Interpretable Graph Learning with Sufficient and Necessary Explanations.

Language: Python - Size: 6.01 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1

NYXFLOWER/TIP

TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)

Language: Python - Size: 294 MB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 15

SmartData-Polito/GCNH

Implementation of GCNH, a GNN for heterophilous graphs described in the paper "GCNH: A Simple Method For Representation Learning On Heterophilous Graphs", IJCNN 2023

Language: Python - Size: 2.75 MB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 1

CRIPAC-DIG/GRACE

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

Language: Python - Size: 119 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 301 - Forks: 55

spidercatfly/TacticExpert

设计一下怎么毕业

Language: Python - Size: 21.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

martinakaduc/xDualSM

Official implementation for paper "10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention"

Language: Python - Size: 166 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

berlincho/GCN-with-Hinton-Knowledge-Distillation

The Pytorch implementation of Graph convolution network (Kipf et.al. 2017) with vanilla Teacher-Student architecture of knowledge distillation (Hinton et.al 2015).

Language: Python - Size: 5.1 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 1

hou27/movie_recommendation

This is a movie recommendation system based on bipartite graphs that uses the IMDB and TMDB dataset to recommend movies to users based on movie similarity and user preferences using graph representation learning.

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

daiquocnguyen/Graph-Transformer

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

Language: Python - Size: 109 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 622 - Forks: 77

ellisalicante/GraphRewiring-Tutorial

This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications in Fairness"

Language: Jupyter Notebook - Size: 6.86 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 49 - Forks: 3

XuexiongLuoMQ/Awesome-Brain-Graph-Learning-with-GNNs

Awesome graph neural networks for brain network learning. Collections of related research papers with implementations, commonly used datasets and tools. We also invite researchers interested in brain graph learning with GNNs to join the project.

Size: 868 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 1

LFhase/CIGA

[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

Language: Python - Size: 618 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 94 - Forks: 9

disi-unibo-nlp/ddegk

Implementation of Deep Divergence Event Graph Kernels

Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

NSLab-CUK/Graph-Neural-Networks-Fall-2023

Welcome to the Graph Neural Networks (06838-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class.

Language: Jupyter Notebook - Size: 59.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 2

kkteru/grail

Inductive relation prediction by subgraph reasoning, ICML'20

Language: Python - Size: 13.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 201 - Forks: 54

CRIPAC-DIG/GCA

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

Language: Python - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 149 - Forks: 26

Orbifold/pyg-link-prediction

Pytorch Geometric link prediction of a homogeneous social graph.

Language: Jupyter Notebook - Size: 19.5 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 6

NSLab-CUK/Connector

The Graph Representation Learning Framework developed by NS Lab @ CUK.

Language: Python - Size: 35.8 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 1

O-JounLee/Collaboration2Vec Fork of higd963/Collaboration2Vec

This study aims to validate whether the research performance of scholars correlates with how the scholars work together.

Language: Python - Size: 95.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0