{"total":15,"rows":[{"id":"2101.08747","title":"Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs","created":"2021-01-21","cited_by_count":51,"area":null},{"id":"2109.02859","title":"Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation","created":"2021-09-07","cited_by_count":21,"area":null},{"id":"2107.10234","title":"Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks","created":"2021-07-21","cited_by_count":19,"area":null},{"id":"2102.07186","title":"Relation-aware Graph Attention Model With Adaptive Self-adversarial Training","created":"2021-02-14","cited_by_count":12,"area":null},{"id":"2112.08764","title":"Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching","created":"2021-12-16","cited_by_count":11,"area":null},{"id":"2102.07200","title":"Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention","created":"2021-02-14","cited_by_count":6,"area":null},{"id":"2210.00538","title":"Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation","created":"2022-10-02","cited_by_count":6,"area":null},{"id":"2203.02656","title":"Deep Partial Multiplex Network Embedding","created":"2022-03-05","cited_by_count":5,"area":null},{"id":"2110.02059","title":"Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering","created":"2021-09-04","cited_by_count":4,"area":null},{"id":"2103.04339","title":"Network Representation Learning: From Traditional Feature Learning to Deep Learning","created":"2021-03-07","cited_by_count":3,"area":null},{"id":"2111.10772","title":"Network representation learning: A macro and micro view","created":"2021-11-21","cited_by_count":3,"area":null},{"id":"2109.07583","title":"Network representation learning systematic review: ancestors and current development state","created":"2021-09-14","cited_by_count":1,"area":null},{"id":"2111.04112","title":"MetaMIML: Meta Multi-Instance Multi-Label Learning","created":"2021-11-07","cited_by_count":0,"area":null},{"id":"2201.02757","title":"DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks","created":"2022-01-08","cited_by_count":0,"area":null},{"id":"2210.07488","title":"MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks","created":"2022-10-14","cited_by_count":0,"area":null}],"next_cursor":null}