safe-graph/DGFraud

A Deep Graph-based Toolbox for Fraud Detection

Language: Python - Size: 80.4 MB - Last synced at: 23 days ago - Pushed at: about 3 years ago - Stars: 731 - Forks: 163

safe-graph/GNN-FakeNews

A collection of GNN-based fake news detection models.

Language: Python - Size: 10.3 MB - Last synced at: 22 days ago - Pushed at: about 3 years ago - Stars: 495 - Forks: 91

awslabs/graphstorm

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

Language: Python - Size: 8.37 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 412 - Forks: 63

YingtongDou/CARE-GNN

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Language: Python - Size: 38.8 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 271 - Forks: 56

INK-USC/KagNet 📦

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

Language: Python - Size: 37.6 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 264 - Forks: 57

octavian-ganea/equidock_public

EquiDock: geometric deep learning for fast rigid 3D protein-protein docking

Language: Roff - Size: 112 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 239 - Forks: 59

HuantWang/FUNDED_NISL

FUNDED is a novel learning framework for building vulnerability detection models.

Language: Python - Size: 128 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 130 - Forks: 36

safe-graph/DGFraud-TF2

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Language: Python - Size: 30 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 130 - Forks: 32

zixi-liu/Fraud-Detection-Papers

Learning Fraud Detection from research papers and industry applications.

Language: Jupyter Notebook - Size: 64.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 106 - Forks: 21

nsidn98/InforMARL

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Language: Python - Size: 18.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 99 - Forks: 23

googlebaba/WWW2020-O2MAC

WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering

Language: Python - Size: 1.99 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 76 - Forks: 11

vikasverma1077/GraphMix

Code for reproducing results in GraphMix paper

Language: Python - Size: 7.99 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 72 - Forks: 14

Namkyeong/BGRL_Pytorch

Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"

Language: Python - Size: 52.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 63 - Forks: 8

magnumical/GCN_for_EEG

Graph Convolutional Networks for 4-class EEG Classification

Language: Python - Size: 874 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 56 - Forks: 17

YukeWang96/GNNAdvisor_OSDI21

Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.

Language: Cuda - Size: 31.3 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 53 - Forks: 17

armanihm/GDC

Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

Language: Python - Size: 1.69 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 44 - Forks: 15

robot-learning-freiburg/Batch3DMOT

3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention. http://batch3dmot.cs.uni-freiburg.de

Language: Python - Size: 13.3 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 31 - Forks: 2

YukeWang96/MGG_OSDI23

Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms.

Language: Cuda - Size: 1.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 28 - Forks: 3

aimclub/ReDKG

Reinforcement learning on dynamic knowledge graphs

Language: Python - Size: 12.2 MB - Last synced at: 23 days ago - Pushed at: 5 months ago - Stars: 26 - Forks: 4

ecolab-nus/lisa

A portable framework to map DFG (dataflow graph, representing an application) on spatial accelerators.

Language: Dockerfile - Size: 486 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 2

machine-reasoning-ufrgs/GNN-GCP

Graph Neural Network architecture to solve the decision version of the graph coloring problem (GCP)

Language: Python - Size: 1.06 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 24 - Forks: 8

Sai-Venky/Trackjectory

Tracking and Trajectory Prediction

Language: Python - Size: 18 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 23 - Forks: 8

gravins/dynamic_graph_benchmark

The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS

Language: Python - Size: 615 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 22 - Forks: 3

josejimenezluna/molgrad

Supporting code for doi 10.1021/acs.jcim.0c01344

Language: Jupyter Notebook - Size: 9.18 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 22 - Forks: 8

cshjin/gnn_in_neurips_2019

A comprehensive collection of GNN works in NeurIPS 2019.

Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 2

gravins/TG-ODE

Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24

Language: Python - Size: 41.4 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 19 - Forks: 2

Bayer-Group/eqgat

Research repository for the proposed equivariant graph attention network that operates on large biomolecules proposed by Le et al. (2022)

Language: Python - Size: 455 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 0

WxxShirley/CIKM2023DiRec

Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"

Language: Python - Size: 1.68 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 2

AdrianArnaiz/DiffWire

DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-Rodriguez, Ahmed Begga, Francisco Escolano and Nuria Oliver.

Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 0

abhilash1910/Deep-Graph-Learning

A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilash1910/nlp-workshop-ml-india-deep-graph-learning to apply GNNs/node embeddings on NLP task.

Language: Jupyter Notebook - Size: 3.29 MB - Last synced at: 3 days ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 3

instadeepai/LightMHC

LightMHC: A Light Model for pMHC Structure Prediction with Graph Neural Networks

Language: Python - Size: 83.4 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 0

gravins/Anti-SymmetricDGN

Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-Dissipative Propagation by Anti-Symmetric Deep Graph Networks"; and "Non-Dissipative Propagation by Randomized Anti-Symmetric Deep Graph Networks"

Language: Python - Size: 8.99 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 11 - Forks: 0

martinakaduc/xNeuSM

Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks

Language: Python - Size: 108 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 11 - Forks: 0

yeeeqichen/FTM

[AAAI 2023] Official implementation of FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning

Language: Python - Size: 223 KB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 0

ClaudMor/gravity_gae_torch_geometric

Pytorch Geometric implementation of the "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" paper.

Language: Python - Size: 904 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1

gravins/non-dissipative-propagation-CTDGs

Official reference implementation of our paper "Long Range Propagation on Continuous-Time Dynamic Graphs" accepted at ICML24 and "Effective Non-Dissipative Propagation for Continuous-Time Dynamic Graphs" accepted at Temporal Graph Learning Workshop @ NeurIPS 2023

Language: Python - Size: 173 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 7 - Forks: 2

Dsantra92/e3nn.jl

E(3)-equivariant graph neural networks (e3nn) for Julia

Language: Julia - Size: 290 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 7 - Forks: 1

shayansss/hml

Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in multi-physics modeling of soft tissues.

Language: Jupyter Notebook - Size: 53.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 1

Namkyeong/NoisyNodes_Pytorch

Pytorch implementation of "Very Deep Graph Neural Networks via Noise Regularisation"

Language: Python - Size: 166 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 2

asarigun/nfc

Implementation of Graph Node-Feature Convolution for Representation Learning in TensorFlow

Language: Python - Size: 5.57 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 0

Lewislou/SENUCLS

This is the official PyTorch implementation of Structure Embedded Nucleus Classification for Histopathology Images

Language: Python - Size: 482 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1

zixi-liu/Graphical-Neural-Network

CS224W: Graph Embedding, GNNs, Recommendation Systems, and applications.

Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

purelyvivid/first-order-model-m

I propose a method which regards key points as a Graph, modeled by Attention-Based Graph Neural Network.

Language: Python - Size: 4.57 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

mylonasc/deep-rul-models

Implementation and applications of DenseNet with dilated convolutional blocks + parameterization with adversarial training.

Language: Jupyter Notebook - Size: 182 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2

qayyumu/SWARM_GNN

Graph neural network for SWARM robotics

Language: Python - Size: 2.96 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

yoongi0428/gnn_practice

Various GNN implementation using DGL library

Language: Python - Size: 295 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 0

gravins/covid19-drug-repurposing-with-DGNs

Official code repository for " Deep Graph Networks for Drug Repurposing with Multi-Protein Targets".

Language: Python - Size: 54.9 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

VirtualRoyalty/Text-level-GCN

Source code of the final course paper "Enhancing Word Embeddings with Graph-Based Text Representations"

Language: Jupyter Notebook - Size: 32 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

AndrewColligan/CADNet

Code for Graph Representation of 3D CAD models for Machining Feature Recognition with Deep Learning paper on deep learning from planar B-Rep CAD models.

Size: 2.93 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

laurencee9/structural_pertubation_detection

Official torch geometric code for the paper Detecting structural perturbations from time series with deep learning

Language: Jupyter Notebook - Size: 279 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

balcilar/GCNNCourseCodes

Graph Analysis Course Notes

Language: Python - Size: 530 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

andreaventuri01/Structural_attacks_GNN_NIDS

Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks"

Language: Jupyter Notebook - Size: 3.51 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

weixians/GnnJssp

基于图神经网络解决JSSP(job shop scheduling problem)问题

Language: Python - Size: 185 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

asarigun/mma

Official Implementation of Multi-Masked Aggregators for Graph Neural Networks in Pytorch and PyTorch Geometric

Language: Python - Size: 5.06 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

JeroendenBoef/GraphPOPE

Source code for GraphPOPE (Graph Position-aware Preprocessed Embeddings), developed in cooperation with the University of Amsterdam and Socialdatabase Research.

Language: Python - Size: 281 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

MILANIUSZ/cVEP-GAT-CNN

Graph-Attentive CNN for cVEP-BCI with Insights into Electrode Significance

Language: Python - Size: 10.7 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 2 - Forks: 0

hyukjunlim/CheapNet

[ICLR 2025] CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction

Language: Python - Size: 474 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

GabrieleColapelle/Improving-GNNs-exploiting-information-of-graphs

Improving Heterogeneus Graph Transformer archiecture exploiting structural information of graph

Language: Jupyter Notebook - Size: 45.7 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

d-stoll/diffpool

Diffpool implementation for GDLMA SoSe22 @ TUM

Language: Jupyter Notebook - Size: 343 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

BakingBrains/Graph-Neural-Network

Pytorch Geometric => Build Graph Neural Network RDKit => Handle Molecule Data

Language: Jupyter Notebook - Size: 22.5 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

akshayjoshii/graph_neural_network

Implementation of a custom Sparse Adjacency Matrix (prior) for a Graph Neural Network classifier for MNIST

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

weidi-chang/graph_nets Fork of deepmind/graph_nets

Build Graph Nets in Tensorflow

Language: Python - Size: 1.39 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

purelyvivid/numpy-GraphNN

Using pure Numpy to Implement general & graph-based deep learning model, including ANN, GCN, ...

Language: Jupyter Notebook - Size: 15.8 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

salvatorecalderaro/geco_explainer

GECo algorithm for Graph Neural Networks Explaination

Language: Jupyter Notebook - Size: 3.26 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

Lord3008/Sustainify

Sustainify: Krushi & City 🌱🍴🌍 🏆 Best MathWorks Award by MLH.

Language: Jupyter Notebook - Size: 27.5 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

AnasNeumann/gns

Engineer-To-Order (ETO) Graph Neural Scheduling (GNS) Project

Language: Python - Size: 489 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

ericbill21/BachelorThesis

This work addresses the need for deeper insights into the representations learned by GNNs by introducing a novel 1-WL+NN framework for which we prove the equivalence with GNNs and are able to study the representations learned by GNNs.

Language: Jupyter Notebook - Size: 417 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

AndreiB137/Equivariant_GNN_Implementation

Language: Python - Size: 1.91 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

Danial-sb/SE2P

Scalable Expressiveness through Graph Perturbations

Language: Python - Size: 238 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

SemUijen/SREX_GNN

SREX-GNN improves Genetic Optimization Algorithms by enabling an Graph Neural Network to select the correct "genes" to cross-over

Language: Python - Size: 43.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

eccvanonymous/Ad-HGFormer

[ECCV 2024]Temporary code for "Ad-HGformer: An Adaptive HyperGraph Transformer for Skeletal Action Recognition"

Language: Python - Size: 1.68 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

pulimeng/Useful_GNN_models

Some useful GNN models

Language: Python - Size: 101 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

achiverram28/FedLSF-DCOSS

Official implementation of the paper "FedLSF: Federated Local Graph Learning via Specformers"

Language: Python - Size: 3.02 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

machinelearningzuu/ai-universe

In this repo I'm gonna implement any AI/ML/DL/RL/NLP/CV/GNN project I found 😇 anywhere. please provide if you have any new project ideas

Language: Jupyter Notebook - Size: 164 MB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

vaniseth/Federated-Learning

Implementation of Federated Learning using Graph Neural Networks

Language: Jupyter Notebook - Size: 19 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

basiralab/Meta-RegGNN

Meta-learning using graph neural networks for brain connectivity regression.

Language: Python - Size: 18.2 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

adityaintwala/ACM-GeometricDeepLearning-2021

Deep Learning Session at ACM Summer School 2021

Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

codingClaire/GNNresources

Graph Neural Network related books, papers and toolboxes

Size: 6.84 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

ainimesh/EQAGNN-PPIS

This is the code repository for the paper E(Q)AGNN-PPIS.

Language: Python - Size: 2.18 GB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

abhishekjoshi007/A-Multi-Modal-Transformer-Architecture-Combining-Sentiment-Dynamics-Temporal-Market-Data

Our approach uniquely fuses sentiment dynamics from social media and news sources with temporal market data and macroeconomic indicators to construct dynamic graph representations of interfirm relationships. Further, we employ state-of-the-art GNNs, such as temporal graph convolutions, that adapt to the changing market and significantly enhance it.

Language: Python - Size: 10.7 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

RecSysEvaluation/RecSys_Evaluation

Revisiting the Performance of GNN Models for Session-based Recommendation

Language: Python - Size: 318 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

RuxiHE/SAGE_resale_value_prediction

Language: Jupyter Notebook - Size: 212 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

imatge-upc/CartNet

CartNet repository to predict properties from crystal structures

Language: Python - Size: 30.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

DavoodSZ1993/SIMPNet_

SIMPNet: Spatial-informed Motion Planning Network

Language: Python - Size: 121 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

giannisnik/gnn-representations

Analyze the representations learned by some well-established graph neural network models

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

lettlini/node_similarity_pyg

Implementing node similarity measures into pytorch geometric

Language: Python - Size: 8.79 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Anubhab17/STXGCN

GNN for spatiotemporal Forecasting using Extreme Value Theory

Language: R - Size: 3.91 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Samprith002/Casnav

A novel and efficient methodology that enables the robot to maneuver safely through dense crowds in more ‘human-like’ patterns.

Language: Jupyter Notebook - Size: 25.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

HamzaGbada/weighted-graph-VRD

This repository contains the official implementation of the paper titled Multimodal weighted graph representation for information extraction from visually rich documents.

Language: Python - Size: 102 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

nitinnilesh/Spelled-Out-Intro-to-Graph-Convolution-Networks

This repository is the implementation of the paper Semi-Supervised Classification With Graph Convolutional Networks (aka GCN) by Kipf et al., ICLR 2017.

Language: Jupyter Notebook - Size: 733 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

alessandrofolloni/Parkinson-paper-presentation

For COMP 790 Video Recognition class, I worked together with ChengCe Tsai on the presentation of the paper "Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video".

Size: 4.66 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

SaimaAbsar/NTiCD

Neural Time-Invariant Causal Discovery from Time Series Data

Language: Python - Size: 4.81 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jhonygiraldo/SJLR

Repository of the paper "On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks" published in ACM CIKM 2023

Language: Python - Size: 463 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

skyepurchase/Simplified_GNN_Concepts

My Part II dissertation looking into extracting concepts from simplified graph neural networks

Language: TeX - Size: 11.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

gasperkreft/MLG_FinalProject

Final project for the Stanford CS224W course

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Thahit/Animal_Segmentation

Image segmentation on the oxford-iiit pet dataset using CNN's, GNN's and U-Nets

Language: Jupyter Notebook - Size: 18.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

sohelrana-aiub/Graph-Neural-Networks-with-PyG-on-Node-Classification-Link-Prediction-and-Anomaly-Detection

Graph Neural Networks is a machine learning algorithm designed for graph-structured data such as* social graphs, networks in cybersecurity, or molecular representations. It has evolved rapidly over the last few years and is used in many different applications*

Language: Jupyter Notebook - Size: 4.41 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

rajeshsharma98/Unique_Meal_plan

Developed a specialized RandomWalk algorithm for bipartite graphs on an ingredient dataset to replace allergenic ingredients while maintaining the nutritional value of the dish, and clustered them into 10 main clusters with 6 of them being highly specific.

Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ialireza13/expanded_gcn

Language: Python - Size: 6.86 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

esmailza/Chemical-Gene-Chemical-Gene-Relation-Extraction-with-GNN

The model identifies chemical components and genes named entities and extracts the relations of the chemical-gene pair jointly. It utilizes the BioBERT model in the named entity recognition and the graphs neural networks for the RE subtasks.

Language: Python - Size: 933 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0