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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://github.com/marlin-codes/kHGCN

공식 코드

kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning

https://github.com/maryram/diffstru

공식 코드

Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization

https://github.com/matejklemen/got-link-prediction

공식 코드

Predicting kills in Game of Thrones using network properties

https://github.com/mathiasj33/boxsquaredel

공식 코드

Dual Box Embeddings for the Description Logic EL++

https://github.com/mathoup31/simhawnet

공식 코드

SimHawNet: A Modified Hawkes Process for Temporal Network Simulation

https://github.com/mattbierbaum/arxiv-public-datasets

공식 코드

On the Use of ArXiv as a Dataset

https://github.com/matthew-hirn/magnet

공식 코드

MagNet: A Neural Network for Directed Graphs

https://github.com/mberr/rank-based-evaluation

공식 코드

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

https://github.com/mcontisc/hypergraph-mt

공식 코드

Inference of hyperedges and overlapping communities in hypergraphs

https://github.com/mdyfrank/uprth

공식 코드

Unified Pretraining for Recommendation via Task Hypergraphs

https://github.com/meettyj/gnp

공식 코드

Graph Neural Prompting with Large Language Models

https://github.com/melifluos/subgraph-sketching

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Graph Neural Networks for Link Prediction with Subgraph Sketching

https://github.com/merialdo/research.lpca

공식 코드

Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

https://github.com/mgithubl/mnci

공식 코드

Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences

https://github.com/michigannlp/vlog_action_co-occurrence

공식 코드

Human Action Co-occurrence in Lifestyle Vlogs using Graph Link Prediction

https://github.com/michiyasunaga/dragon

공식 코드

Deep Bidirectional Language-Knowledge Graph Pretraining

https://github.com/migalkin/NodePiece

공식 코드

NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs

https://github.com/migalkin/StarE

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Message Passing for Hyper-Relational Knowledge Graphs

https://github.com/mikeheddes/dothash

공식 코드

DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication

https://github.com/mims-harvard/decagon

공식 코드

Modeling polypharmacy side effects with graph convolutional networks

https://github.com/mingchenli/VGAE_Attack_Meta

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Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction

https://github.com/ml-ml/link-moe

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Mixture of Link Predictors on Graphs

https://github.com/mlvlab/SELAR

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Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs

https://github.com/mommi84/horn-concerto

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Beyond Markov Logic: Efficient Mining of Prediction Rules in Large Graphs

https://github.com/moritzblum/literalevaluation

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Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets

https://github.com/muhanzhang/SEAL

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Link Prediction Based on Graph Neural Networks

https://github.com/myflashbarry/LLM-benchmarking

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Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation

https://github.com/namyongpark/metagl

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MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning

https://github.com/nddsg/KGMiner

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Discriminative Predicate Path Mining for Fact Checking in Knowledge Graphs

https://github.com/nec-research/emu-kg

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Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction

https://github.com/neph0s/lmke

공식 코드

Language Models as Knowledge Embeddings

https://github.com/neuralgraphdatabases/awesome-logical-query

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Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases

https://github.com/newiz430/bandana

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Masked Graph Autoencoder with Non-discrete Bandwidths

https://github.com/ngl567/cake

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CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion

https://github.com/nicknakis/hbdm

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A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations

https://github.com/nicknakis/hm-ldm

공식 코드

A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks

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