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Link Prediction

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하위 태스크: 6
평가표: 79
보존된 평가 기록: 497

Link Prediction is a task in graph and network analysis where the goal is to predict missing or future connections between nodes in a network. Given a partially observed network, the goal of link prediction is to infer which links are most likely to be added or missing based on the observed connections and the structure of the network.

<span style="color:grey; opacity: 0.6">( Image credit: Inductive Representation Learning on Large Graphs )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://git.skewed.de/count0/graph-tool

공식 코드

Consistencies and inconsistencies between model selection and link prediction in networks

https://github.com/0sidewalkenforcer0/HypeTKG

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Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs

https://github.com/1173710224/link-prediction-with-rule-based-reasoning

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EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective

https://github.com/2024sig/sig

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SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs

https://github.com/3riccc/C-GIN

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Completing Networks by Learning Local Connection Patterns

https://github.com/3sigmalab/MSGCN

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MSGCN: Multiplex Spatial Graph Convolution Network for Interlayer Link Weight Prediction

https://github.com/763337092/LP-BERT

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Multi-task Pre-training Language Model for Semantic Network Completion

https://github.com/AGalassi/StructurePrediction18

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Multi-Task Attentive Residual Networks for Argument Mining

https://github.com/AGhasemian/CommunityFitNet

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Evaluating Overfit and Underfit in Models of Network Community Structure

https://github.com/AKSW/KG2Vec

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Expeditious Generation of Knowledge Graph Embeddings

https://github.com/AKSW/Mandolin

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Mandolin: A Knowledge Discovery Framework for the Web of Data

https://github.com/AcEbt/CPL

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Deep Insights into Noisy Pseudo Labeling on Graph Data

https://github.com/Aghasemian/OptimalLinkPrediction

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Stacking Models for Nearly Optimal Link Prediction in Complex Networks

https://github.com/AminFadaee/mlculp

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Multi-Label Classification Using Link Prediction

https://github.com/AndreasLF/HowLowCanYouGo

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How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings

https://github.com/AnnonymousForPapers/GCN-proof

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Derivation of Back-propagation for Graph Convolutional Networks using Matrix Calculus and its Application to Explainable Artificial Intelligence

https://github.com/AnselCmy/MetaR

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Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs

https://github.com/ArchitParnami/Node2KG

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Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks

https://github.com/AstraZeneca/NESS

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NESS: Node Embeddings from Static SubGraphs

https://github.com/AynurGuluzade/DARLING

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Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records

https://github.com/Azadeh297/BiGTex

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Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex

https://github.com/AzarKh/ExEm

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ExEm: Expert Embedding using dominating set theory with deep learning approaches

https://github.com/BScNets/BScNets

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BScNets: Block Simplicial Complex Neural Networks

https://github.com/Barcavin/FakeEdge

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FakeEdge: Alleviate Dataset Shift in Link Prediction

https://github.com/Barcavin/efficient-node-labelling

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Pure Message Passing Can Estimate Common Neighbor for Link Prediction

https://github.com/BioMedicalBigDataMiningLab/TDRC

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Tensor Decomposition with Relational Constraints for Predicting Multiple Types of MicroRNA-disease Associations

https://github.com/CODE-SUBMIT/Graph_Neighborhood_1

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Mutual Information Maximization in Graph Neural Networks

https://github.com/CODE-SUBMIT/Neighborhood-Enlargement-in-Graph-Network

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Mutual Information Maximization in Graph Neural Networks

https://github.com/CRIPAC-DIG/GraphAIR

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GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction

https://github.com/CUAI/Edge-Proposal-Sets

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Edge Proposal Sets for Link Prediction

https://github.com/Chandrahasd/OKGIT

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OKGIT: Open Knowledge Graph Link Prediction with Implicit Types

https://github.com/Chen-Cai-OSU/LDP

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A simple yet effective baseline for non-attributed graph classification

https://github.com/CheriseZhu/GIL

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Graph Geometry Interaction Learning

https://github.com/CrawlScript/tf_geometric

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Efficient Graph Deep Learning in TensorFlow with tf_geometric

https://github.com/Cybersecurity-Tools/V2W-BERT

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V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities

https://github.com/DM2-ND/CFLP

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Learning from Counterfactual Links for Link Prediction

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