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Home/Authors/Jiliang Tang

Jiliang Tang

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 3:00 AM AMS

16

papers

558

total citations

papers (16)

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking

NEURIPS 2023arXiv

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models

NEURIPS 2022arXiv

Position: Graph Foundation Models Are Already Here

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

NEURIPS 2023arXiv

Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

NEURIPS 2023arXiv

Revisiting Link Prediction: a data perspective

A Large Scale Search Dataset for Unbiased Learning to Rank

NEURIPS 2022arXiv

PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming

Memory Injection Attacks on LLM Agents via Query-Only Interaction

NEURIPS 2025arXiv

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective

Towards Label Position Bias in Graph Neural Networks

NEURIPS 2023arXiv

Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models

Position: TrustLLM: Trustworthiness in Large Language Models

Graph Neural Networks with Adaptive Residual

XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information