tzhao.io

Webside score tzhao.io

Tong Zhao | 赵通

 Genereret Februar 14 2026 21:16 PM

Gammel data? OPDATER !

Scoren er 51/100

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Titel

Tong Zhao | 赵通

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Overskrifter

H1 H2 H3 H4 H5 H6
1 5 2 0 0 0
  • [H1] Tong Zhao | 赵通
  • [H2] Research Interests
  • [H2] CV
  • [H2] RecentOutdated News
  • [H2] Publications
  • [H2] Honors and Awards
  • [H3] Preprints
  • [H3] Peer-reviewed Papers

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On-page links

Vi fandt et total af 101 links inkluderende 68 link(s) til filer

Anker Type Juice
GitHub Ekstern Sender Juice
LinkedIn Ekstern Sender Juice
Google Scholar Ekstern Sender Juice
here Ekstern Sender Juice
Curriculum Vitae Intern Sender Juice
KDD 2025 Ekstern Sender Juice
Large-Scale Graph Neural Networks: the Past and New Frontiers Ekstern Sender Juice
KDD 2023 Ekstern Sender Juice
Augmentation Methods for Graph Learning Ekstern Sender Juice
SDM 2023 Ekstern Sender Juice
MLoG Workshop Ekstern Sender Juice
Mis2-TrueFact Workshop Ekstern Sender Juice
ShenLanXueYuan Ekstern Sender Juice
Graph Data Augmentation for Graph Machine Learning Ekstern Sender Juice
Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling Ekstern Sender Juice
MemRec: Collaborative Memory-Augmented Agentic Recommender System Ekstern Sender Juice
Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings Ekstern Sender Juice
Understanding Generative Recommendation with Semantic IDs from a Model-scaling View Ekstern Sender Juice
Beyond Unimodal Boundaries: Generative Recommendation with Multimodal Semantics Ekstern Sender Juice
Enhancing Item Tokenization for Generative Recommendation through Self-Improvement Ekstern Sender Juice
Retrieval-Augmented Generation with Graphs (GraphRAG) Ekstern Sender Juice
Breaking Information Cocoons: A Hyperbolic Graph-LLM Framework for Exploration and Exploitation in Recommender Systems Ekstern Sender Juice
Graph Transformers for Large Graphs Ekstern Sender Juice
Sequential Data Augmentation for Generative Recommendation Ekstern Sender Juice
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction Ekstern Sender Juice
A Pre-training Framework for Relational Data with Information-theoretic Principles Ekstern Sender Juice
Generative Recommendation with Semantic IDs: A Practitioner's Handbook Ekstern Sender Juice
SEESAW: Do Graph Neural Networks Improve Node Representation Learning for All? Ekstern Sender Juice
Node Duplication Improves Cold-start Link Prediction Ekstern Sender Juice
GiGL: Large-Scale Graph Neural Networks at Snapchat Ekstern Sender Juice
Revisiting Self-Attention for Cross-Domain Sequential Recommendation Ekstern Sender Juice
On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective Ekstern Sender Juice
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Ekstern Sender Juice
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat Ekstern Sender Juice
Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning Ekstern Sender Juice
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Ekstern Sender Juice
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank Ekstern Sender Juice
Improving Out-of-Vocabulary Handling in Recommendation Systems Ekstern Sender Juice
Towards Neural Scaling Laws on Graphs Ekstern Sender Juice
How Does Message Passing Improve Collaborative Filtering? Ekstern Sender Juice
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems Ekstern Sender Juice
Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion Ekstern Sender Juice
LLaGA: Large Language and Graph Assistant Ekstern Sender Juice
Graph Foundational Models Ekstern Sender Juice
Learning from Graphs Beyond Message Passing Nerual Networks Ekstern Sender Juice
Revisiting Link Prediction: a Data Perspective Ekstern Sender Juice
A Topological Perspective on Demystifying GNN-based Link Prediction Performance Ekstern Sender Juice
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Ekstern Sender Juice
Data-Centric Learning from Unlabeled Graphs with Diffusion Model Ekstern Sender Juice
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Ekstern Sender Juice
Semi-supervised Graph Imbalanced Regression Ekstern Sender Juice
CARL-G: Clustering-Accelerated Representation Learning on Graphs Ekstern Sender Juice
Linkless Link Prediction via Relational Distillation Ekstern Sender Juice
code Ekstern Sender Juice
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization Ekstern Sender Juice
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Ekstern Sender Juice
Empowering Graph Representation Learning with Test-Time Graph Transformation Ekstern Sender Juice
Link Prediction with Non-Contrastive Learning Ekstern Sender Juice
Graph Data Augmentation for Graph Machine Learning: A Survey Ekstern Sender Juice
reading list Ekstern Sender Juice
AutoGDA: Automated Graph Data Augmentation for Node Classification Ekstern Sender Juice
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering Ekstern Sender Juice
code Ekstern Sender Juice
Graph Rationalization with Environment-based Augmentations Ekstern Sender Juice
code Ekstern Sender Juice
Learning from Counterfactual Links for Link Prediction Ekstern Sender Juice
code Ekstern Sender Juice
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts Ekstern Sender Juice
code Ekstern Sender Juice
Deep Multimodal Complementarity Learning Ekstern Sender Juice
DOI Ekstern Sender Juice
Neural-PDE: A RNN based Neural Network for Solving Time Dependent PDEs Ekstern Sender Juice
DOI Ekstern Sender Juice
Dynamic Attributed Graph Prediction with Conditional Normalizing Flows Ekstern Sender Juice
Sentence-Permuted Paragraph Generation Ekstern Sender Juice
code Ekstern Sender Juice
Action Sequence Augmentation for Early Graph-based Anomaly Detection Ekstern Sender Juice
slides Intern Sender Juice
code Ekstern Sender Juice
A Unified View on Graph Neural Networks as Graph Signal Denoising Ekstern Sender Juice
Data Augmentation for Graph Neural Networks Ekstern Sender Juice
slides Intern Sender Juice
code Ekstern Sender Juice
Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance Ekstern Sender Juice
DOI Ekstern Sender Juice
A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning Intern Sender Juice
DOI Ekstern Sender Juice
code & datasets Ekstern Sender Juice
Modeling Co-evolution of Attributed and Structural Information in Graph Sequence Ekstern Sender Juice
DOI Ekstern Sender Juice
Error-bounded Graph Anomaly Loss for GNNs Intern Sender Juice
slides Intern Sender Juice
Identifying Referential Intention with Heterogeneous Contexts Ekstern Sender Juice
Biomedical Knowledge Graphs Construction from Conditional Statements Ekstern Sender Juice
DOI Ekstern Sender Juice
CTGA: Graph-based Biomedical Literature Search Intern Sender Juice
Multi-input Multi-output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text Intern Sender Juice
The Role of ‘‘Condition’’: A Novel Scientific Knowledge Graph Representation and Construction Model Intern Sender Juice
Actionable Objective Optimization for Suspicious Behavior Detection on Large Bipartite Graphs Intern Sender Juice
slides Intern Sender Juice
jemdoc+MathJax Ekstern Sender Juice

SEO Nøgleord

Nøgleords cloud

shah zhao jiang graph liu conference learning neil international tong

Nøgleords balance

Nøgleord Indhold Titel Nøgleord Beskrivelse Overskrifter
zhao 73
tong 72
neil 48
shah 48
conference 45

Brugervenlighed

Link

Domæne : tzhao.io

Længde : 8

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