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Hongyu Ren

20 papers · 2018–2024 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+5 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (35)
🧬 Topic Evolution 🀝 Dynamic Duo (14) πŸ—ƒοΈ Keyword Collector (92) πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze

Papers

MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration EMNLP 2024 High dimensional, tabular deep learning with an auxiliary knowledge graph NeurIPS 2023 PRODIGY: Enabling In-context Learning Over Graphs NeurIPS 2023 VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering ICCV 2023 Deep Bidirectional Language-Knowledge Graph Pretraining NeurIPS 2022 Few-shot Relational Reasoning via Connection Subgraph Pretraining NeurIPS 2022 GreaseLM: Graph REASoning Enhanced Language Models ICLR 2022 Inductive Logical Query Answering in Knowledge Graphs NeurIPS 2022 Combiner: Full Attention Transformer with Sparse Computation Cost NeurIPS 2021 LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs ICML 2021 Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones NeurIPS 2021 QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering NAACL 2021 Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs NeurIPS 2020 Graph Information Bottleneck NeurIPS 2020 OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation UAI 2020 Open Graph Benchmark: Datasets for Machine Learning on Graphs NeurIPS 2020 Adaptive Antithetic Sampling for Variance Reduction ICML 2019 Adversarial Constraint Learning for Structured Prediction IJCAI 2018 Bias and Generalization in Deep Generative Models: An Empirical Study NeurIPS 2018 Multi-Agent Generative Adversarial Imitation Learning NeurIPS 2018