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47 search results found

Awesome Self Supervised Gnn ⭐ 1,356

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Graph Fraud Detection Papers ⭐ 1,148

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Awesome Fl ⭐ 1,103

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Gnn4nlp Papers ⭐ 824

A list of recent papers about Graph Neural Network methods applied in NLP areas.

Powerful Gnns ⭐ 762

How Powerful are Graph Neural Networks?

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

Graph Transformer ⭐ 408

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

Awesome Deep Community Detection ⭐ 397

Deep and conventional community detection related papers, implementations, datasets, and tools.

Awesome Graph Attack Papers ⭐ 315

Adversarial attacks and defenses on Graph Neural Networks.

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"

Awesome Federated Learning On Graph And Gnn Papers ⭐ 225

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

Pro Gnn ⭐ 213

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Awesome Gnn Recommendation ⭐ 191

Graph Neural Network

Awesome Computer Vision ⭐ 186

Awesome Resources for Advanced Computer Vision Topics

Representation Learning On Heterogeneous Graph ⭐ 178

Representation-Learning-on-Heterogeneous-Graph

Gemnet_pytorch ⭐ 136

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

Ai Nlp Paper Readings ⭐ 107

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

Gnn Meta Attack ⭐ 106

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Knowledge Aware Reader ⭐ 104

PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"

Pgexplainer ⭐ 90

Parameterized Explainer for Graph Neural Network

Sdn Nfv Papers ⭐ 86

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

Awesome Artificial Intelligence Research ⭐ 80

A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

Awesome Graph Anomaly Detection ⭐ 78

A collection of papers for graph anomaly detection, and published algorithms and datasets.

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

Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"

AAAI'21: Data Augmentation for Graph Neural Networks

Graphmix ⭐ 60

Code for reproducing results in GraphMix paper

Learning Tsp ⭐ 53

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

Bmvc_2019 ⭐ 41

PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"

Rgat Absa ⭐ 40

Code for our paper "Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network" in TASLP

Locally Private Graph Neural Networks (ACM CCS 2021)

Network Deconfounder Wsdm20 ⭐ 35

Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

Selftask Gnn ⭐ 35

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

Robust Gcn ⭐ 29

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

Synthetic_coordinates ⭐ 27

Synthetic coordinates for GNNs, as proposed in "Directional Message Passing on Molecular Graphs via Synthetic Coordinates" (NeurIPS 2021)

Graph Reinforcement Learning Papers ⭐ 25

A curated list of graph reinforcement learning papers.

Graph2seq For Kgqg ⭐ 15

Code & data accompanying the paper "Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks"

Gemnet_tf ⭐ 14

GemNet model in TensorFlow, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)

Simplicial_neural_networks ⭐ 13

Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.

Simp Gcn ⭐ 12

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Extended Simgnn ⭐ 11

A PyTorch Geometric implementation of SimGNN with some extensions.

Graph Embedding Techniques ⭐ 11

It provides some typical graph embedding techniques based on task-free or task-specific intuitions.

Learning Paradigms For Tsp ⭐ 10

Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)

Code for paper Document-Level Paraphrase Generation with Sentence Rewriting and Reordering by Zhe Lin, Yitao Cai and Xiaojun Wan. This paper is accepted by Findings of EMNLP'21.

Graph In Recommendation Systems ⭐ 7

GNNs in Recommendation Systems

Hirs Detecting_arbitrary_order_beneficial_feature_interactions_for_recommender_systems ⭐ 7

Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022

Awesome Graph Learning Papers ⭐ 7

A curated list of graph learning papers, articles, tutorials, slides and projects

Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".

Source code for our paper "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)

Cdt Ccm Aae ⭐ 6

Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)

Open Knowledge Enrichment for Long-tail Entities, WWW 2020

[PR 2021] Code for "GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction"

HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.

Graph Convolutional Networks in JAX

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